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Between 2006 and 2013, he worked as a Junior Researcher, at INESC TEC, on several international and national projects about wind power forecasting and its integration into power system operations. One example is the FP6 EU Project ANEMOS.plus (2008-2011) where he developed three software tools for smart transmission grids with high penetration of wind power. Another project was ARGUS (2008-2013), funded by the U.S. Department of Energy (DOE), where he developed, in collaboration with Argonne National Laboratory, new algorithms for point and probabilistic wind power forecasting, as well as decision-aid tools to integrate forecasts in decision-making problems. At the national level, in the EPREV project, he developed statistical models for an innovative wind power forecasting system. As a result of this project, a spin-off company, Prewind Lda, was created for selling the forecasting services. He is a co-founder of that company. Since September 2013, he has been a Senior Research at INESC TEC. He was involved in the FP7 EU Projects SuSTAINABLE, evolvDSO, and HYPERBOLE where his main tasks are the design of smart grid architectures, innovative grid management tools, and the development of spatial-temporal forecasting algorithms. In the Horizon 2020 SENSIBLE (2015-2018) and SmarterEMC2 (2015-2017) projects he designed use cases for innovative grid and market management functions. Presently, he is the technical coordinator of the Horizon 2020 InteGrid project (2017-2020), which is demonstrating how distribution system operators may enable all stakeholders to actively participate in the energy market and distribution grid management and develop and implement new business models, making use of new data management and consumer involvement approaches. Moreover, he is leading the work of INESC TEC on the Horizon 2020 project Smart4RES (2019-2023) to develop privacy-preserving techniques and data auction algorithms for renewable energy forecasting, as well as new methodologies to integrate forecast uncertainty in electrical grid and flexibility management. He is the Coordinator of the Horizon Europe AI4REALNET project. He is Senior Member of IEEE since February 2019. With a h-index of 39 (Scopus), co-authored 62 journal papers, 128 conference papers, and 7 book chapters about renewable energy forecasting, power system operation, and electricity markets. He served as an Associate Editor for the IEEE Transactions on Sustainable Energy between 2018 and 2023.
Identificação

Identificação pessoal

Nome completo
Ricardo Jorge Gomes de Sousa Bento Bessa

Nomes de citação

  • Bessa, Ricardo
  • Ricardo J. Bessa
  • R.J. Bessa

Identificadores de autor

Ciência ID
8F10-958A-C9F6
ORCID iD
0000-0002-3808-0427
AuthenticusID
R-000-SC6
Google Scholar ID
https://scholar.google.com/citations?user=Nvz34NIAAAAJ&hl=en
Scopus Author Id
24921304700

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Hardware e Arquitetura de Computadores

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Espanhol; Castelhano Utilizador independente (B1) Utilizador proficiente (C1) Utilizador elementar (A1) Utilizador independente (B1)
Francês Utilizador elementar (A1) Utilizador independente (B1) Utilizador elementar (A1) Utilizador elementar (A1)
Formação
Grau Classificação
2013
Concluído
Doctoral program in Sustainable Energy Systems (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
"Methodologies for the participation of an electric vehicles’ aggregator in the electricity market" (TESE/DISSERTAÇÃO)
Approved with distinction
2008
Concluído
Data Analysis and Decision Support Systems (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
"Treino On Line de Redes Neuronais com Critérios de Informação Aplicado à Previsão Eólica" (TESE/DISSERTAÇÃO)
Very good
2006
Concluído
Electrical and Computer Engineering (Licenciatura)
Universidade do Porto Faculdade de Engenharia, Portugal
"Optimização Centralizada da Operação de Pequenos Sistemas de Energias Renováveis Isolados" (TESE/DISSERTAÇÃO)
14
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2018/07/01 - Atual Investigador Coordenador (carreira) (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2013/09/01 - 2018/06/30 Investigador principal (carreira) (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2015 - 2018 Investigador principal (carreira) (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2006/03/01 - 2006/07/31 Estagiário de Investigação (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Projetos

Projeto

Designação Financiadores
2022/01/01 - Atual Green.Dat.AI - Energy-efficient AI-ready Data Spaces
Investigador Pós-doutorado
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Em curso
2019/12/01 - Atual Grid2C - Local Grid Coordination & Control
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Agência para a Competitividade e Inovação IP
Concluído
2023/10/01 - 2027/03/31 AI4REALNET - AI for REAL-world NETwork operation
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Em curso
2023/09/01 - 2026/08/31 ENFIELD - European Lighthouse to Manifest Trustworthy and Green AI
Investigador
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Em curso
2021/01/01 - 2025/12/31 INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência INESC TEC
LA/P/0063/2020
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2020/02/01 - 2023/07/31 EUniversal - Market enabiling interface to unlock flexibility solutions for cost-effective management of smarter distribution grids
Investigador Pós-doutorado
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2021/07/21 - 2023/06/30 AI4PV - Artificial Intelligence for Operation and Maintenance of PV Plants
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Agência Nacional de Inovação SA
Concluído
2019/11/01 - 2023/04/30 Smart4RES (Next Generation Modelling and Forecasting of Variable Renewable Generation for Large-scale Integration in Energy Systems and Markets)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2017/01/01 - 2020/12/31 ESGRIDS - Enhancing smart GRIDs for sustainability
SAICTPAC/0004/2015
Universidade do Minho, Portugal

Universidade da Beira Interior, Portugal

Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal

Instituto de Engenharia de Sistemas e Computadores, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2019/01/01 - 2019/12/31 INESC TEC - INESC Technology and Science
UID/EEA/50014/2019
Instituto de Engenharia de Sistemas e Computadores, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2016/04/01 - 2018/12/30 Sistema modular de armazenamento de energia com funcionalidades de gestão avançadas para produção de origem renovável
SmartGP/0004/2015
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2015/01/01 - 2018/06/30 SusCity: Modelação de sistemas urbanos para a promoção de transições criativas e sustentáveis
MITP-TB/CS/0026/2013
Instituto de Engenharia Mecânica, Portugal

Universidade do Minho, Portugal

Instituto de Engenharia de Sistemas e Computadores, Portugal

Universidade de Coimbra, Portugal

Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2008/01/01 - 2011/06/30 ANEMOS.plus (Advanced Tools for the Management of Electricity Grids with Large-Scale Wind Generation)
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído

Outro

Designação Financiadores
2022/09/01 - 2026/08/31 BeFlexible - Boosting engagement to increase flexibility
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Em curso
2022/07/01 - 2025/06/30 ENERSHARE - European commoN EneRgy dataSpace framework enabling data sHaring-driven Across- and beyond- eneRgy sErvices
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Em curso
2019/10/01 - 2024/03/31 InterConnect - Interoperable Solutions Connecting Smart Homes, Buildings and Grids
Investigador Pós-doutorado
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Em curso
2019/11/01 - 2020/11/30 AI4Substation - Artificial intelligence for managing alarm data in HV/MV substations
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2019/05/01 - 2020/09/30 FlexAgg - Aggregation of flexibility from industrial consumers
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2018/06/01 - 2020/06/30 LPVAnalytics - Forecasting system for load and solar energy generation
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2017/01/01 - 2020/06/30 InteGrid (Demonstration of INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Em curso
2018/05/01 - 2019/04/30 PriceMining - Data analytics for studying wholesale and ancillary services market prices
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2016/04/01 - 2019/03/31 REstable - Improvement of Renewables-based System Services Through Better Interaction of European Control Zones
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2018/01/01 - 2018/09/30 SOLAR4DR - Solar power forecasting for demand response applications
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2018/01/10 - 2018/06/30 HIP - Heath Index for Power Transformers
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2016/01/01 - 2017/12/31 UPGRID (Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2013/09/01 - 2016/12/31 evolvDSO (Development of methodologies and tools for new and evolving DSO roles for efficient DRES integration in distribution networks)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2015/10/01 - 2016/11/30 ReservaProb - Probabilistic tool for setting operating reserve requirements
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2014/01/01 - 2016/11/30 HYPERBOLE (HYdropower plants PERformance and flexiBle Operation towards Lean integration of new renewable Energies)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2013/09/01 - 2016/03/31 SuSTAINABLE (Smart Distribution System operation for maximizing the integration of renewable generation)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2015/01/01 - 2015/12/31 SENSIBLE (Storage ENabled SustaInable energy for BuiLdings and communitiEs)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2014/06/30 - 2015/12/31 Prev_PRE - Probabilistic forecasting of renewable energy
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2014/01/01 - 2015/12/31 PrevSol - Solar power forecasting
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2015/01/01 - 2015/07/31 SmarterEMC2 (Smart Grid: Empowering SG Market Actors through Information and Communication Technologies)
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2014/03/01 - 2015/03/31 OTGEN - Integration of large and small-scale storage in a generation company
Investigador responsável
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2011/05/16 - 2013/01/31 ONS-EOLICA: Roadmap about Wind Power Forecasting
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2008/12/01 - 2012/12/31 ARGUS - Wind Power Forecasting and Electricity Markets
n.a.
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2006/10/01 - 2008/06/30 PrevEol - a wind forecasting tool for Portugal
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2007/06/01 - 2008/03/30 Technical evaluation of the wind power integration in the Hungarian transmission network and generation power system
n.a.
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
2004/12/01 - 2007/11/30 RISE (Renewables for Isolated Systems - Energy supply and Waste Water Treatment)
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
European Commission
Concluído
2007/06/01 - 2007/09/30 Adequacy evaluation of Madeira island generation system
n.a.
Bolseiro de Investigação
Concluído
2006/09/01 - 2007/01/31 Plano Regional de Ordenamento do Território do Norte - PROT Norte and Plano Regional de Ordenamento do Oeste e Vale do Tejo - PROT OVT
n.a.
Bolseiro de Investigação
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Costa, L; Silva, A; Bessa, RJ; Araújo, RE. "PV Inverter Fault Classification using Machine Learning and Clarke Transformation". 2023.
    10.1109/powertech55446.2023.10202783
  2. Rodrigues, L; Faria, D; Coelho, F; Mello, J; Saraiva, JT; Villar, J; Bessa, RJ. "Analysis of Flexibility-centric Energy and Cross-sector Business Models". 2023.
    10.1109/eem58374.2023.10161816
  3. Fritz, B; Sampaio, G; Bessa, RJ. "Data-driven Assessment of the DER Flexibility Impact on the LV Grid Management". 2023.
    10.1109/powertech55446.2023.10202676
  4. Möhrlen C.; Giebel G.; Bessa R.J.; Fleischhut N.. "How do Humans decide under Wind Power Forecast Uncertainty - An IEA Wind Task 36 Probabilistic Forecast Games and Experiments initiative". 2022.
    10.1088/1742-6596/2151/1/012014
  5. Coelho, F; Silva, F; Goncalves, C; Bessa, R; Alonso, A. "A Blockchain-based Data Market for Renewable Energy Forecasts". 2022.
    10.1109/bcca55292.2022.9922150
  6. Sampaio, G; Gouveia, C; Bessa, R; Villar, J; Retorta, F; Carvalho, L; Merckx, C; et al. "Euniversal's smart grid solutions for the coordinated operation & planning of MV and LV networks with high EV integration". 2022.
    10.1049/icp.2022.0881
  7. Retorta, F; Gouveia, C; Sampaio, G; Bessa, R; Villar, J. "Local flexibility need estimation based on distribution grid segmentation". 2022.
    10.1109/eem54602.2022.9920997
  8. Dudkina, E; Villar, J; Bessa, RJ. "Maximizing Green Hydrogen Production with Power Flow Tracing". 2022.
    10.1109/eem54602.2022.9921160
  9. Goncalves C.; Ribeiro M.; Viana J.; Fernandes R.; Villar J.; Bessa R.; Correia G.; et al. "Explanatory and Causal Analysis of the Portuguese Manual Balancing Reserve". 2021.
    10.1109/powertech46648.2021.9494983
  10. Falcão, J; Cândido, C; Silva, D; Sousa, J; Pereira, M; Rua, D; Gouveia, C; et al. "Enabling Interoperable Flexibility and Standardized Grid Support Services". 2021.
    10.1049/icp.2021.2045
  11. Camal, S; Kariniotakis, G; Sossan, F; Libois, Q; Legrand, R; Raynaud, L; Lange, M; et al. "Smart4RES: Next generation solutions for renewable energy forecasting and applications with focus on distribution grids". 2021.
    10.1049/icp.2021.1829
  12. Marques, P; Falcão, J; Albuquerque, S; Bessa, R; Gouveia, C; Rua, D; Villar, J; et al. "The Role of Interoperable, Agnostic and Flexibility Enabling Interfaces for DSO and System Coordination". 2021.
    10.1049/icp.2021.2048
  13. Almeida, B; Santos, RJ; Louro, M; Santos, PM; Ribeiro, AF; Bessa, RJ; Gouveia, C; et al. "INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON SCADA DATA". 2021.
    10.1049/icp.2021.2092
  14. Senna, PP; Almeida, AH; Barros, AC; Bessa, RJ; Azevedo, AL. "Architecture model for a holistic and interoperable digital energy management platform". 2020.
    10.1016/j.promfg.2020.10.157
  15. Mello, J; Villar, J; Bessa, RJ; Lopes, M; Martins, J; Pinto, M. "Power-to-Peer: A blockchain P2P post-delivery bilateral local energy market". 2020.
    10.1109/eem49802.2020.9221901
  16. Simões, Micael; Sampaio, Gil; Madureira, André; Bessa, Ricardo. "Monitoring and Predictive Control in LV Networks". Trabalho apresentado em DCE19 - Congresso Doutoral em Engenharia, Porto, 2019.
    Publicado
  17. Rocha, R; Villar, J; Bessa, RJ. "Business models for Peer-To-Peer Energy Markets". 2019.
    10.1109/eem.2019.8916543
  18. Pereira, M; Bessa, RJ; Gouveia, C. "Low voltage grid data visualisation with a frame representation and cognitive architecture". 2019.
    10.1109/ptc.2019.8810988
  19. Ganesan, K; Saraiva, JT; Bessa, RJ. "Using causal inference to measure residential consumers demand response elasticity". 2019.
    10.1109/ptc.2019.8810859
  20. Viana, J; Bessa, RJ; Sousa, J. "Load forecasting benchmark for smart meter data". 2019.
    10.1109/ptc.2019.8810781
  21. Goncalves, C; Ribeiro, M; Viana, J; Fernandes, R; Villar, J; Bessa, R; Correia, G; et al. "Explanatory and causal analysis of the MIBEL electricity market spot price". 2019.
    10.1109/ptc.2019.8810763
  22. Sebastian, Reyes; Andrade, José; Bessa, Ricardo. "Pronóstico de flujo de energía de olas". Trabalho apresentado em VI Congreso Nacional de Estudiantes de Energías Renovables (CNEER), Temixco, Mexico, Temixco, 2018.
    Submetido
  23. COELHO, FABIO; Bessa, Ricardo; Rodrigues, Xavier; Alonso, Ana; Soares, Tiago; Matos, Pedro; Pires, Guido; SHAHROKNI, Hossein; MÄKIVIERIKKO, Aram. "Grid and Market Hub: Empowering Local Energy Communities in InteGrid". Trabalho apresentado em CIRED, Ljubljana, 2018.
  24. Bessa, RJ; Rua, D; Abreu, C; Machado, P; Andrade, JR; Pinto, R; Gonçalves, C; Reis, M. "Data economy for prosumers in a smart grid ecosystem". 2018.
    10.1145/3208903.3210282
  25. Bessa, R; Sampaio, G; Miranda, V; Pereira, J. "Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques". 2018.
    10.23919/pscc.2018.8443074
  26. Oliveira, R; Bessa, R; Iranda, VM. "Identifying topology in power networks in the absence of breaker status sensor signals". 2018.
    10.1109/melcon.2018.8379086
  27. Bessa, RJ; Rua, D; Abreu, C; Machado, P; Andrade, JR; Pinto, R; Gonçalves, C; Reis, M. "Data Economy for Prosumers in a Smart Grid Ecosystem". 2018.
  28. Gouveia, J; Gouveia, C; Rodrigues, J; Bessa, R; Madureira, AG; Pinto, R; Moreira, CL; Lopes, JAP. "MicroGrid Energy Balance Management for Emergency Operation". 2017.
    10.1109/ptc.2017.7981127
  29. Cavalcante, L; Bessa, RJ. "Solar power forecasting with sparse vector autoregression structures". 2017.
    10.1109/ptc.2017.7981201
  30. Reis, M; Garcia, A; Bessa, RJ. "A Scalable Load Forecasting System for Low Voltage Grids". 2017.
    10.1109/ptc.2017.7980936
  31. Pinto, R; Matos, MA; Bessa, RJ; Gouveia, J; Gouveia, C. "Multi-Period Modeling of Behind-the-Meter Flexibility". 2017.
    10.1109/ptc.2017.7980956
  32. Alonso, A; Couto, R; Pacheco, H; Bessa, R; Gouveia, C; Seca, L; Moreira, J; et al. "Towards new data management platforms for a DSO as market enabler - UPGRID Portugal demo". 2017.
    10.1049/oap-cired.2017.1181
  33. Gallego-Castillo, C.; Cuerva-Tejero, A.; Bessa, R.J.; Cavalcante, L.. "Wind power probabilistic forecast in the Reproducing Kernel Hilbert Space". 2016.
    10.1109/pscc.2016.7540830
  34. Filipe, J.M.; Moreira, C.L.; Bessa, R.J.; Silva, B.A.. "Optimization of the variable speed pump storage participation in frequency restoration reserve market". 2016.
    10.1109/EEM.2016.7521336
  35. Moreira, R.; Bessa, R.; Gama, J.. "Probabilistic forecasting of day-ahead electricity prices for the Iberian electricity market". 2016.
    10.1109/EEM.2016.7521226
  36. Matos, M.A.; Bessa, R.J.; Goncalves, C.; Cavalcante, L.; Miranda, V.; Machado, N.; Marques, P.; Matos, F.. "Setting the maximum import net transfer capacity under extreme RES integration scenarios". 2016.
    10.1109/PMAPS.2016.7764145
  37. Teixeira, H.; Pereira Barbeiro, P.N.; Pereira, J.; Bessa, R.; Matos, P.G.; Lemos, D.; Morais, A.C.; Caujolle, M.; Sebastian-Viana, M.. "A state estimator for LV networks: Results from the evolvDSO project". 2016.
    10.1049/cp.2016.0736
  38. Mendes, G.; Gouveia, C.; Guerra, F.; Ferreira, A.; Murphy-O'connor, C.; Rocha, L.; Bessa, R.; Albuquerque, S.. "SENSIBLE project: Évora demonstrator enabling energy storage and energy management creating value for grid and customers". 2016.
    10.1049/cp.2016.0809
  39. Bessa, R.J.. "On the quality of the Gaussian copula for multi-temporal decision-making problems". 2016.
    10.1109/pscc.2016.7541001
  40. Santos, R.J.; Andre, R.; Bessa, R.; Gouveia, C.; Araujo, A.; Guerra, F.; Damásio, J.; Bravo, G.; Sumaili, J.. "Energy storage management for grid operation purposes". 2016.
    10.1049/cp.2016.0746
  41. Fonseca, N.; Silva, J.; Silva, A.; Sumaili, J.; Seca, L.; Bessa, R.; Pereira, J.; et al. "EvolvDSO grid management tools to support TSO-DSO cooperation". 2016.
    10.1049/cp.2016.0672
  42. Marques, M.; Bessa, R.; Moreira, C.; Mousinho, P.; Gouveia, C.; Gerlich, M.; Leiria, A.; Madureira, A.; Rodriguez, S.. "Integration; of energy storage in LV grid normal and emergency operation". 2016.
    10.1049/cp.2016.0808
  43. Silva, A.; Carvalho, L.; Bessa, R.; Sumaili, J.; Seca, L.; Schaarschmidt, G.; Silva, J.; Matos, M.; Hermes, R.. "Assessing DER flexibility in a German distribution network for different scenarios and degrees of controllability". 2016.
    10.1049/cp.2016.0801
  44. Filipe, J.M.; Bessa, R.J.; Sumaili, J.; Tomé, R.; Sousa, J.N.. "A hybrid short-term solar power forecasting tool". 2015.
    10.1109/ISAP.2015.7325543
  45. Heymann, F.; Bessa, R.. "Power-to-Gas potential assessment of Portugal under special consideration of LCOE". 2015.
    10.1109/ptc.2015.7232586
  46. Lima, F.P.A.; Minussi, C.R.; Bessa, R.B.; Fidalgo, J.N.. "A modified negative selection algorithm applied in the diagnosis of voltage disturbances in distribution electrical systems". 2015.
    10.1109/ISAP.2015.7325514
  47. Barbeiro, P.N.P.; Teixeira, H.; Pereira, J.; Bessa, R.. "An ELM-AE State Estimator for real-time monitoring in poorly characterized distribution networks". 2015.
    10.1109/ptc.2015.7232679
  48. Bessa, R.J.. "From marginal to simultaneous prediction intervals of wind power". 2015.
    10.1109/ISAP.2015.7325536
  49. Heleno, M.; Soares, R.; Sumaili, J.; Bessa, R.J.; Seca, L.; Matos, M.A.. "Estimation of the flexibility range in the transmission-distribution boundary". 2015.
    10.1109/ptc.2015.7232524
  50. Iria, J.P.; Soares, F.J.; Bessa, R.J.. "Optimized Demand Response Bidding in the Wholesale Market under Scenarios of Prices and Temperatures". 2015.
    10.1109/PTC.2015.7232428
  51. Bessa, R.J.; Matos, M.A.; Soares, F.J.. "Framework for the participation of EV aggregators in the electricity market". 2014.
    10.1109/IEVC.2014.7056228
  52. Bessa, R.J.; Trindade, A.; Monteiro, A.; Miranda, V.; Silva, C.S.P.. "Solar power forecasting in smart grids using distributed information". 2014.
    10.1109/PSCC.2014.7038462
  53. Holttinen, H.; Milligan, M.; Ela, E.; Menemenlis, N.; Dobschinski, J.; Rawn, B.; Bessa, R.J.; et al. "Methodologies to determine operating reserves due to increased wind power". 2013.
    10.1109/pesmg.2013.6673067
  54. Bessa, R.J.; Costa, I.C.; Bremermann, L.; Matos, M.A.. "Operational strategies for the optimized coordination of wind farms and hydro-pump units". 2012.
    10.1049/cp.2012.2036
  55. Bessa, R.J.; Lima, N.; Matos, M.A.. "Operational management algorithms for an EV aggregator". 2012.
    10.1049/cp.2012.2037
  56. Bessa, R.J.; Matos, M.A.. "Forecasting issues for managing a portfolio of electric vehicles under a smart grid paradigm". 2012.
    10.1109/ISGTEurope.2012.6465724
  57. Bessa, R.J.; Mendes, J.; Miranda, V.; Botterud, A.; Wang, J.; Zhou, Z.. "Quantile-copula density forecast for wind power uncertainty modeling". 2011.
    10.1109/PTC.2011.6019180
  58. Bessa, R.J.; Soares, F.J.; Peças Lopes, J.A.; Matos, M.A.. "Models for the EV aggregation agent business". 2011.
    10.1109/PTC.2011.6019221
  59. Botterud, A.; Zhou, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.. "Wind power forecasting, unit commitment, and electricity market operations". 2011.
    10.1109/pes.2011.6039192
  60. Botterud, A.; Zhou, Z.; Wang, J.; Valenzuela, J.; Sumaili, J.; Bessa, R.J.; Keko, H.; Miranda, V.. "Unit commitment and operating reserves with probabilistic wind power forecasts". 2011.
    10.1109/ptc.2011.6019263
  61. Bessa, R.J.; Matos, M.A.. "The role of an aggregator agent for EV in the electricity market". 2010.
    10.1049/cp.2010.0866
  62. Botterud, A.; Wang, J.; Bessa, R.J.; Keko, H.; Miranda, V.. "Risk management and optimal bidding for a wind power producer". 2010.
    10.1109/pes.2010.5589535
  63. Bessa, R.J.; Miranda, V.; Principe, J.C.; Botterud, A.; Wang, J.. "Information theoretic learning applied to wind power modeling". 2010.
    10.1109/IJCNN.2010.5596362
  64. Bessa, R.J.; Matos, M.A.. "Comparison of probabilistic and deterministic approaches for setting operating reserve in systems with high penetration of wind power". 2010.
    10.1049/cp.2010.0867
  65. Matos, M.A.; Bessa, R.. "Operating reserve adequacy evaluation using uncertainties of wind power forecast". 2009.
    10.1109/ptc.2009.5282039
  66. Bessa, R.; Miranda, V.; Gama, J.. "Wind power forecasting with entropy-based criteria algorithms". 2008.
  67. Bessa, R.; Miranda, V.; Gama, J.. "Improvement in wind power forecasting based on information entropy-related concepts". 2008.
    10.1109/pes.2008.4596932
  68. Rodrigues, A.; Lopes, J.A.; Miranda, P.; Palma, J.; Monteiro, C.; Sousa, J.N.; Bessa, R.J.; Rodrigues, C.; Matos, J.. "EPREV - A wind power forecasting tool for Portugal". 2007.
Artigo em revista
  1. C.A. Silva; R. Vilaça; A. Pereira; R.J. Bessa; carlos silva; VILAÇA, RICARDO; Pereira, André; Rui Bessa. Autor correspondente: carlos silva. "A review on the decarbonization of high-performance computing centers". Renewable and Sustainable Energy Reviews (2024): https://doi.org/10.1016/j.rser.2023.114019.
    Em revisão • 10.1016/j.rser.2023.114019
  2. Ricardo J. Bessa; Ferinar Moaidi; João Viana; José R. Andrade. "Uncertainty-Aware Procurement of Flexibilities for Electrical Grid Operational Planning". IEEE Transactions on Sustainable Energy (2023): https://doi.org/10.1109/TSTE.2023.3305865.
    10.1109/TSTE.2023.3305865
  3. Gil Sampaio; Ricardo J. Bessa; Carla Gonçalves; Clara Gouveia. "Conditional parametric model for sensitivity factors in LV grids: A privacy-preserving approach". Electric Power Systems Research (2022): https://doi.org/10.1016/j.epsr.2022.108316.
    10.1016/j.epsr.2022.108316
  4. Corinna Möhrlen; Ricardo J. Bessa; Nadine Fleischhut. "A decision-making experiment under wind power forecast uncertainty". Meteorological Applications 29 3 (2022): https://doi.org/10.1002/met.2077.
    10.1002/met.2077
  5. Ricardo J. Bessa; Pierre Pinson; George Kariniotakis; Dipti Srinivasan; Charlie Smith; Nima Amjady; Hamidreza Zareipour. "Guest Editorial for the Special Section on Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry". IEEE Transactions on Sustainable Energy 13 2 (2022): 1166-1168. https://doi.org/10.1109/TSTE.2022.3157009.
    10.1109/TSTE.2022.3157009
  6. Ganesan, K; Saraiva, JT; Bessa, RJ. "Functional model of residential consumption elasticity under dynamic tariffs". ENERGY AND BUILDINGS (2022):
    10.1016/j.enbuild.2021.111663
  7. J. R. Andrade; C. Rocha; R. Silva; J. P. Viana; Ricardo J. Bessa; C. Gouveia; B. Almeida; et al. "Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms". IEEE Access 10 (2022): 73758-73773. https://doi.org/10.1109/ACCESS.2022.3190398.
    10.1109/ACCESS.2022.3190398
  8. Luis Dias; Miguel Ribeiro; Armando Leitão; Luis Guimarães; Leonel Carvalho; Manuel A. Matos; Ricardo J. Bessa. "An unsupervised approach for fault diagnosis of power transformers". Quality and Reliability Engineering International 37 6 (2021): 2834-2852. https://doi.org/10.1002/qre.2892.
    10.1002/qre.2892
  9. Sergio Potenciano Menci; Ricardo J. Bessa; Barbara Herndler; Clemens Korner; Bharath-Varsh Rao; Fabian Leimgruber; André A. Madureira; et al. "Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach". Energies 14 18 (2021): 5685-5685. https://doi.org/10.3390/en14185685.
    10.3390/en14185685
  10. Carla Goncalves; Ricardo J. Bessa; Pierre Pinson. "Privacy-Preserving Distributed Learning for Renewable Energy Forecasting". IEEE Transactions on Sustainable Energy 12 3 (2021): 1777-1787. https://doi.org/10.1109/TSTE.2021.3065117.
    10.1109/TSTE.2021.3065117
  11. Alex Coronati; José R. Andrade; Ricardo J. Bessa. "A deep learning method for forecasting residual market curves". Electric Power Systems Research 190 (2021): 106756-106756. https://doi.org/10.1016/j.epsr.2020.106756.
    10.1016/j.epsr.2020.106756
  12. Carla Goncalves; Pierre Pinson; Ricardo J. Bessa. "Towards Data Markets in Renewable Energy Forecasting". IEEE Transactions on Sustainable Energy 12 1 (2021): 533-542. https://doi.org/10.1109/TSTE.2020.3009615.
    10.1109/TSTE.2020.3009615
  13. Gonçalves, C; Cavalcante, L; Brito, M; Bessa, RJ; Gama, J. "Forecasting conditional extreme quantiles for wind energy". Electric Power Systems Research (2021):
    10.1016/j.epsr.2020.106636
  14. Goncalves, C; Bessa, RJ; Pinson, P. "A critical overview of privacy-preserving approaches for collaborative forecasting". INTERNATIONAL JOURNAL OF FORECASTING (2021):
    10.1016/j.ijforecast.2020.06.003
  15. Fox, J; Ela, E; Hobbs, B; Sharp, J; Novacheck, J; Motley, A; Bessa, RJ; Pinson, P; Kariniotakis, G. "Forecasting and Market Design Advances: Supporting an Increasing Share of Renewable Energy". IEEE POWER & ENERGY MAGAZINE (2021):
    10.1109/mpe.2021.3104132
  16. Mladen Kezunovic; Pierre Pinson; Zoran Obradovic; Santiago Grijalva; Tao Hong; Ricardo Bessa. "Big data analytics for future electricity grids". Electric Power Systems Research 189 (2020): 106788-106788. https://doi.org/10.1016/j.epsr.2020.106788.
    10.1016/j.epsr.2020.106788
  17. Romain Dupin; Laura Cavalcante; Ricardo J. Bessa; Georges Kariniotakis; Andrea Michiorri. "Extreme Quantiles Dynamic Line Rating Forecasts and Application on Network Operation". Energies 13 12 (2020): 3090-3090. https://doi.org/10.3390/en13123090.
    10.3390/en13123090
  18. Pinto, R; Bessa, RJ; Sumaili, J; Matos, MA. "Distributed multi-period three-phase optimal power flow using temporal neighbors". Electric Power Systems Research (2020):
    10.1016/j.epsr.2020.106228
  19. Soares, T; Carvalho, L; Moris, H; Bessa, RJ; Abreu, T; Lambert, E. "Reactive power provision by the DSO to the TSO considering renewable energy sources uncertainty". SUSTAINABLE ENERGY GRIDS & NETWORKS (2020):
    10.1016/j.segan.2020.100333
  20. Margaux Bregere; Ricardo J. Bessa; Bregere, M; Bessa, RJ. "Simulating Tariff Impact in Electrical Energy Consumption Profiles With Conditional Variational Autoencoders". IEEE Access 8 (2020): 131949-131966. https://doi.org/10.1109/ACCESS.2020.3009060.
    10.1109/ACCESS.2020.3009060
  21. Kamalanathan Ganesan; João Tomé Saraiva; Ricardo J. Bessa. "On the Use of Causality Inference in Designing Tariffs to Implement More Effective Behavioral Demand Response Programs". Energies (2019): https://doi.org/10.3390/en12142666.
    10.3390/en12142666
  22. Vladimiro Miranda; Pedro A. Cardoso; Ricardo J. Bessa; Ildemar Decker. "Through the looking glass: Seeing events in power systems dynamics". International Journal of Electrical Power & Energy Systems 106 (2019): 411-419. https://doi.org/10.1016/j.ijepes.2018.10.024.
    10.1016/j.ijepes.2018.10.024
  23. Soares, T; Bessa, RJ. "Proactive management of distribution grids with chance-constrained linearized AC OPF". INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019):
    10.1016/j.ijepes.2019.02.002
  24. Lopes, JAP; Madureira, AG; Matos, M; Bessa, RJ; Monteiro, V; Afonso, JL; Santos, SF; et al. "The future of power systems: Challenges, trends, and upcoming paradigms". Wiley Interdisciplinary Reviews: Energy and Environment (2019):
    10.1002/wene.368
  25. Filipe, J; Bessa, RJ; Reis, M; Alves, R; Povoa, P. "Data-driven predictive energy optimization in a wastewater pumping station". APPLIED ENERGY (2019):
    10.1016/j.apenergy.2019.113423
  26. Bessa, RJ; Rua, D; Abreu, C; Machado, P; Andrade, JR; Pinto, R; Gonçalves, C; Reis, M. "Data Economy for Prosumers in a Smart Grid Ecosystem". CoRR (2019):
  27. Joao Silva; Jean Sumaili; Ricardo J. Bessa; Luis Seca; Manuel A. Matos; Vladimiro Miranda; Mathieu Caujolle; et al. "Estimating the Active and Reactive Power Flexibility Area at the TSO-DSO Interface". IEEE Transactions on Power Systems 33 5 (2018): 4741-4750. https://doi.org/10.1109/TPWRS.2018.2805765.
    10.1109/TPWRS.2018.2805765
  28. Jorge Filipe; Ricardo J. Bessa; Carlos Moreira; Bernardo Silva. "Optimal bidding strategy for variable-speed pump storage in day-ahead and frequency restoration reserve markets". Energy Systems (2018): https://doi.org/10.1007/s12667-018-0277-9.
    10.1007/s12667-018-0277-9
  29. Soares, T; Bessa, RJ; Pinson, P; Morais, H; Tiago Soares; Ricardo J. Bessa; Pierre Pinson; Hugo Morais. "Active Distribution Grid Management Based on Robust AC Optimal Power Flow". IEEE TRANSACTIONS ON SMART GRID 9 6 (2018): 6229-6241. https://doi.org/10.1109/TSG.2017.2707065.
    10.1109/tsg.2017.2707065
  30. Bessa, Ricardo. "Probabilistic Price Forecasting for Day-Ahead and Intraday Markets: Beyond the Statistical Model". Sustainability (2017): http://www.mdpi.com/2071-1050/9/11/1990.
    10.3390/su9111990
  31. Filipe, J.; Bessa, R.; Moreira, C.; Silva, B.. "On the Profitability of Variable Speed Pump-Storage-Power in Frequency Restoration Reserve". Journal of Physics: Conference Series 813 1 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85017480290&partnerID=MN8TOARS.
    10.1088/1742-6596/813/1/012010
  32. Bessa, R.; Moreira, C.; Silva, B.; Filipe, J.; Fulgencio, N.. "Role of pump hydro in electric power systems". Journal of Physics: Conference Series 813 1 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85017435297&partnerID=MN8TOARS.
    10.1088/1742-6596/813/1/012002
  33. Silva, J.; Sumaili, J.; Bessa, R.J.; Seca, L.; Matos, M.; Miranda, V.. "The challenges of estimating the impact of distributed energy resources flexibility on the TSO/DSO boundary node operating points". Computers and Operations Research (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85020737135&partnerID=MN8TOARS.
    10.1016/j.cor.2017.06.004
  34. Dobschinski, J; Bessa, R; Du, PW; Geisler, K; Haupt, SE; Lange, M; Moehrlen, C; Nakafuji, D; de la Torre Rodriguez, MD. "Uncertainty Forecasting in a Nutshell". IEEE POWER & ENERGY MAGAZINE (2017):
    10.1109/mpe.2017.2729100
  35. Andrade, JR; Bessa, RJ. "Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions". IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2017):
    10.1109/tste.2017.2694340
  36. Cavalcante, L.; Bessa, R.J.; Reis, M.; Browell, J.. "LASSO vector autoregression structures for very short-term wind power forecasting". Wind Energy 20 4 (2017): 657-675. http://www.scopus.com/inward/record.url?eid=2-s2.0-84988346596&partnerID=MN8TOARS.
    10.1002/we.2029
  37. Pinto, R; Bessa, RJ; Matos, MA. "Multi-period flexibility forecast for low voltage prosumers". ENERGY (2017):
    10.1016/j.energy.2017.11.142
  38. Viania Sebastian, M; Caujolle, M; Goncer Maraver, B; Pereira, J; Sumaili, J; Barbeiro, P; Silva, J; Bessa, R. "LV state estimation and TSO–DSO cooperation tools: results of the French field tests in the evolvDSO project". CIRED - Open Access Proceedings Journal (2017):
    10.1049/oap-cired.2017.0410
  39. Reis, M; Garcia, A; Bessa, R; Seca, L; Gouveia, C; Moreira, J; Nunes, P; et al. "Predictive management of low-voltage grids". CIRED - Open Access Proceedings Journal (2017):
    10.1049/oap-cired.2017.1185
  40. Pinto, R; Bessa, RJ; Matos, MA. "Surrogate Model of Multi-Period Flexibility from a Home Energy Management System". CoRR (2017):
  41. Gallego-Castillo, C.; Bessa, R.; Cavalcante, L.; Lopez-Garcia, O.. "On-line quantile regression in the RKHS (Reproducing Kernel Hilbert Space) for operational probabilistic forecasting of wind power". Energy 113 (2016): 355-365. http://www.scopus.com/inward/record.url?eid=2-s2.0-84978708768&partnerID=MN8TOARS.
    10.1016/j.energy.2016.07.055
  42. Bessa, R.J.; Trindade, A.; Miranda, V.. "Spatial-temporal solar power forecasting for smart grids". IEEE Transactions on Industrial Informatics 11 1 (2015): 232-241. http://www.scopus.com/inward/record.url?eid=2-s2.0-84922994684&partnerID=MN8TOARS.
    10.1109/TII.2014.2365703
  43. Bessa, R.J.; Trindade, A.; Silva, C.S.P.; Miranda, V.. "Probabilistic solar power forecasting in smart grids using distributed information". International Journal of Electrical Power and Energy Systems 72 (2015): 16-23. http://www.scopus.com/inward/record.url?eid=2-s2.0-84937764904&partnerID=MN8TOARS.
    10.1016/j.ijepes.2015.02.006
  44. Bessa, R.J.; Matos, M.A.. "Optimization models for an EV aggregator selling secondary reserve in the electricity market". Electric Power Systems Research 106 (2014): 36-50. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883808080&partnerID=MN8TOARS.
    10.1016/j.epsr.2013.08.006
  45. Castronuovo, E.D.; Usaola, J.; Bessa, R.; Matos, M.; Costa, I.C.; Bremermann, L.; Lugaro, J.; Kariniotakis, G.. "An integrated approach for optimal coordination of wind power and hydro pumping storage". Wind Energy 17 6 (2014): 829-852. http://www.scopus.com/inward/record.url?eid=2-s2.0-84898445395&partnerID=MN8TOARS.
    10.1002/we.1600
  46. Bessa, R.; Moreira, C.; Silva, B.; Matos, M.. "Handling renewable energy variability and uncertainty in power systems operation". Wiley Interdisciplinary Reviews: Energy and Environment 3 2 (2014): 156-178. http://www.scopus.com/inward/record.url?eid=2-s2.0-84893810819&partnerID=MN8TOARS.
    10.1002/wene.76
  47. Bessa, R.J.; Matos, M.A.. "Global against divided optimization for the participation of an EV aggregator in the day-ahead electricity market. Part I: Theory". Electric Power Systems Research 95 (2013): 319-329. http://www.scopus.com/inward/record.url?eid=2-s2.0-84870434381&partnerID=MN8TOARS.
    10.1016/j.epsr.2012.08.007
  48. Botterud, A.; Zhou, Z.; Wang, J.; Sumaili, J.; Keko, H.; Mendes, J.; Bessa, R.J.; Miranda, V.. "Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois". IEEE Transactions on Sustainable Energy 4 1 (2013): 250-261. http://www.scopus.com/inward/record.url?eid=2-s2.0-84871851152&partnerID=MN8TOARS.
    10.1109/TSTE.2012.2215631
  49. Zhou, Z.; Botterud, A.; Wang, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.. "Application of probabilistic wind power forecasting in electricity markets". Wind Energy 16 3 (2013): 321-338. http://www.scopus.com/inward/record.url?eid=2-s2.0-84876419075&partnerID=MN8TOARS.
    10.1002/we.1496
  50. Bessa, R.J.; Matos, M.A.. "Optimization models for EV aggregator participation in a manual reserve market". IEEE Transactions on Power Systems 28 3 (2013): 3085-3095. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880923590&partnerID=MN8TOARS.
    10.1109/TPWRS.2012.2233222
  51. Bessa, R.J.; Matos, M.A.. "Global against divided optimization for the participation of an EV aggregator in the day-ahead electricity market. Part II: Numerical analysis". Electric Power Systems Research 95 (2013): 309-318. http://www.scopus.com/inward/record.url?eid=2-s2.0-84870460466&partnerID=MN8TOARS.
    10.1016/j.epsr.2012.08.013
  52. Holttinen, H.; Milligan, M.; Ela, E.; Menemenlis, N.; Dobschinski, J.; Rawn, B.; Bessa, R.J.; et al. "Methodologies to determine operating reserves due to increased wind power". IEEE Transactions on Sustainable Energy 3 4 (2012): 713-723. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875484903&partnerID=MN8TOARS.
    10.1109/tste.2012.2208207
  53. Bessa, R.J.; Matos, M.A.. "Economic and technical management of an aggregation agent for electric vehicles: A literature survey". European Transactions on Electrical Power 22 3 (2012): 334-350. http://www.scopus.com/inward/record.url?eid=2-s2.0-84860261138&partnerID=MN8TOARS.
    10.1002/etep.565
  54. Botterud, A.; Zhou, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.. "Wind power trading under uncertainty in LMP markets". IEEE Transactions on Power Systems 27 2 (2012): 894-903. http://www.scopus.com/inward/record.url?eid=2-s2.0-84860243876&partnerID=MN8TOARS.
    10.1109/tpwrs.2011.2170442
  55. Bessa, R.J.; Miranda, V.; Botterud, A.; Zhou, Z.; Wang, J.. "Time-adaptive quantile-copula for wind power probabilistic forecasting". Renewable Energy 40 1 (2012): 29-39. http://www.scopus.com/inward/record.url?eid=2-s2.0-80755122841&partnerID=MN8TOARS.
    10.1016/j.renene.2011.08.015
  56. Bessa, R.J.; Miranda, V.; Botterud, A.; Wang, J.; Constantinescu, E.M.. "Time adaptive conditional kernel density estimation for wind power forecasting". IEEE Transactions on Sustainable Energy 3 4 (2012): 660-669. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883215425&partnerID=MN8TOARS.
    10.1109/tste.2012.2200302
  57. Bessa, R.J.; Matos, M.A.; Costa, I.C.; Bremermann, L.; Franchin, I.G.; Pestana, R.; Machado, N.; Waldl, H.; Wichmann, C.. "Reserve setting and steady-state security assessment using wind power uncertainty forecast: A case study". IEEE Transactions on Sustainable Energy 3 4 (2012): 827-836. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883234089&partnerID=MN8TOARS.
    10.1109/tste.2012.2199340
  58. Bessa, R.J.; Matos, M.A.; Soares, F.J.; Lopes, J.A.P.. "Optimized bidding of a EV aggregation agent in the electricity market". IEEE Transactions on Smart Grid 3 1 (2012): 443-452. http://www.scopus.com/inward/record.url?eid=2-s2.0-84857651992&partnerID=MN8TOARS.
    10.1109/tsg.2011.2159632
  59. Matos, M.A.; Bessa, R.J.. "Setting the operating reserve using probabilistic wind power forecasts". IEEE Transactions on Power Systems 26 2 (2011): 594-603. http://www.scopus.com/inward/record.url?eid=2-s2.0-79955525885&partnerID=MN8TOARS.
    10.1109/tpwrs.2010.2065818
  60. Bessa, R.J.; Miranda, V.; Botterud, A.; Wang, J.. "Good or bad wind power forecasts: A relative concept". Wind Energy 14 5 (2011): 625-636. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960784244&partnerID=MN8TOARS.
    10.1002/we.444
  61. Wang, J.; Botterud, A.; Bessa, R.; Keko, H.; Carvalho, L.; Issicaba, D.; Sumaili, J.; Miranda, V.. "Wind power forecasting uncertainty and unit commitment". Applied Energy 88 11 (2011): 4014-4023. http://www.scopus.com/inward/record.url?eid=2-s2.0-79959828041&partnerID=MN8TOARS.
    10.1016/j.apenergy.2011.04.011
  62. Botterud, A.; Wang, J.; Miranda, V.; Bessa, R.J.. "Wind Power Forecasting in U.S. Electricity Markets". Electricity Journal 23 3 (2010): 71-82. http://www.scopus.com/inward/record.url?eid=2-s2.0-77951497638&partnerID=MN8TOARS.
    10.1016/j.tej.2010.03.006
  63. Bessa, R.J.; Miranda, V.; Gama, J.. "Entropy and correntropy against minimum square error in offline and online three-day ahead wind power forecasting". IEEE Transactions on Power Systems 24 4 (2009): 1657-1666. http://www.scopus.com/inward/record.url?eid=2-s2.0-70350707612&partnerID=MN8TOARS.
    10.1109/TPWRS.2009.2030291
  64. Ramirez-Rosado, I.J.; Fernandez-Jimenez, L.A.; Monteiro, C.; Sousa, J.; Bessa, R.. "Comparison of two new short-term wind-power forecasting systems". Renewable Energy 34 7 (2009): 1848-1854. http://www.scopus.com/inward/record.url?eid=2-s2.0-60949099322&partnerID=MN8TOARS.
    10.1016/j.renene.2008.11.014
Capítulo de livro
  1. Bessa, R; Moreira, C; Silva, B; Matos, M. "Handling Renewable Energy Variability and Uncertainty in Power System Operation". 2019.
    10.1002/9781119508311.ch1
  2. Matos, M; Bessa, R; Botterud, A; Zhou, Z. "Forecasting and setting power system operating reserves". 2017.
    10.1016/b978-0-08-100504-0.00011-1
  3. Bessa, RJ. "Future Trends for Big Data Application in Power Systems". 2017.
    10.1016/b978-0-12-811968-6.00010-3
  4. Matos, MA; Seca, L; Madureira, AG; Soares, FJ; Bessa, RJ; Pereira, J; Peças Lopes, J. "Control and Management Architectures". 2016.
    10.1002/9781118755471.sgd058
  5. Bessa, RJ; Dowell, J; Pinson, P. "Renewable Energy Forecasting". 2016.
    10.1002/9781118755471.sgd050
  6. Wang, J; Valenzuela, J; Botterud, A; Keko, H; Bessa, R; Miranda, V. "Reliability Assessment Unit Commitment with Uncertain Wind Power". 2013.
    10.1007/978-3-642-41080-2_1
Relatório
  1. Ricardo J. Bessa; Ferinar Moaidi; Luis Teixeira; Hodajt Mariji; Ricardo Andrade; Joao Viana; Manuel Matos; et al. 2023. Predictive management of voltage and congestion problems under RES uncertainty.
Resumo em conferência
  1. Kariniotakis, Georges; Camal, Simon; Meer, Dennis van Der; Stratigakos, Akylas; Giebel, Gregor; Göçmen, Tuhfe; Pinson, Pierre; et al. "Highlight results of the Smart4RES project on weather modelling and forecasting dedicated to renewable energy applications". Trabalho apresentado em EGU General Assembly 2022, Vienna, Austria, Vienna, 2022.
    10.5194/egusphere-egu22-12923
  2. Gonçalves, Carla; Andrade, José; Bessa, Ricardo. "Feature extraction techniques that improve wind power probabilistic forecasting". Trabalho apresentado em Wind Energy Science Conference 2017, Mini Symposia, 2017.

Propriedade Intelectual

Pedido provisório de patente
  1. 2022. "Method and device for preserving privacy of linear regression distributed learning".
    Divulgado
  2. 2019. "Method and device for controlling a wastewater tank pumping system".
    Protegido

Outros

Empresa spin-off
  1. 2009. Prewind Lda. Renewable energy and electricity price forecasting services. http://www.inegi.pt/instituicao/noticias_detalhe.asp?ano=2018&idm=1&idsubm=9&id=32¬iciaid=867&LN=.
Outra produção
  1. Forecasting: theory and practice. 2022. Petropoulos, F; Apiletti, D; Assimakopoulos, V; Babai, MZ; Barrow, DK; Ben Taieb, S; Bergmeir, C; et al.
    10.1016/j.ijforecast.2021.11.001
  2. The future of forecasting for renewable energy. 2020. Sweeney, C; Bessa, RJ; Browell, J; Pinson, P.
    10.1002/wene.365
  3. Smart4RES: Towards next generation forecasting tools of renewable energy production. 2020. Kariniotakis, G; Camal, S; Bessa, R; Pinson, P; Giebel, G; Libois, Q; Legrand, R; et al.
    10.5194/egusphere-egu2020-20205
  4. IEA Wind Task 36 Forecasting. 2020. Giebel, G; Shaw, W; Frank, H; Pinson, P; Draxl, C; Zack, J; Möhrlen, C; Kariniotakis, G; Bessa, R.
    10.5194/egusphere-egu2020-14253
  5. Flexibility products and markets: Literature review. 2018. Villar, J; Bessa, R; Matos, M. https://www.authenticus.pt/P-00M-ZE0.
    10.1016/j.epsr.2017.09.005
  6. Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry. 2017. Bessa, RJ; Mohlen, C; Fundel, V; Siefert, M; Browell, J; El Gaidi, SH; Hodge, BM; Cali, U; Kariniotakis, G. https://www.authenticus.pt/P-00M-ZAB.
    10.3390/en10091402
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2023/10/26 Leveraging big data and data-driven models for sustainable energy systems IEEE BDA Tutorial Series: Big Data & Analytics for Power Systems
IEEE (Online, Estados Unidos)
2023/07/19 Federated learning for predictive management of low voltage grids 2023 IEEE PES General Meeting
IEEE (Orlando, Estados Unidos)
2023/07/17 ML-assistant for human operators in processing power system alarm data 2023 IEEE PES General Meeting
IEEE (Orlando, Estados Unidos)
2022/06/14 Preventing definition of flexibility actions for solving technical problems in electrical grids using uncertainty forecasts PMAPS 2022 Special Session – Smart4RES
University of Manchester (Manchester, Reino Unido)
2022/05/23 Challenges to build communities of edge AI in power grids NSF-Sponsored Joint US-European Workshop 2022 "Grid at the Edge: towards the zero-carbon power grid with improved visibility, safety and reliability"
(Split, Croácia)
2020/03/04 Data Science in Sustainable Energy Systems Data Science Portugal Meetup
(Porto, Portugal)
2019/06/23 Probabilistic forecasting of renewable energy in decision-aid problems under risk Tutorial: Managing uncertainties in power system operation. 13th IEEE PowerTech 2019
(Milan, Itália)
2018/11/07 Energy Analytics for Smart Grids and Flexibility Management European Utility Week, Hub Programme
(Vienna, Áustria)
2018/06/20 Distributed PV Forecasting and Data Marketplace in an Era of Data Privacy Concerns ESIG 2018 Forecasting Workshop - Applying Meteorology in Power System Planning and Operations
(St. Paul, Estados Unidos)
2017/06/20 Operational problems at the distribution network level Tutorial: Probabilistic methods for power system management: state of the art, challenges and perspectives. 19th Power Systems Computation Conference (PSCC 2016)
(Genoa, Itália)
2017/06/15 The Role of HPC in the Energy Sector Digitalization Workshop on HPC for Energy Applications
EoCoE - Energy oriented Centre of Excellence for computer applications (Brussels, Bélgica)
2017/03/30 Knowledge Extraction from Weather Prediction Models to Improve Renewable Energy Forecasting Skill 2nd Wind Power Big Data and IoT Forum
BIS GROUP (Amsterdam, Países Baixos)
2016/10/19 Wind Power Forecasting with Geographically Distributed Information Wind Power Big Data and IoT Forum
BIS GROUP
2011/09/20 On the use of probabilistic forecasts in power system operations: a demonstration for REN IEA Wind Task 25 - Design and Operation of Power Systems with Large Ammounts of Wind Power
LNEG (Lisboa, Portugal)
2011/03/23 Robust reserve setting tool, Fuzzy power ¿ow for power system security assessment, Wind-hydro coordination for participating the electricity market Workshop about wind power forecasting and decision-aid tools for managing the power system, ANEMOS.plus project
REN (Lisboa, Portugal)

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2021/02/01 - Atual Communicating Forecast Uncertainty in Predictive Management of Power System
Orientador
Programa Doutoral em Engenharia Electrotécnica e de Computadores (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2017/09/01 - 2022/07/21 Residential consumer behavioural analysis on the participation in demand response strategies including distributed generation and electric vehicles
Coorientador
Programa Doutoral em Sistemas Sustentáveis de Energia (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2017/09/01 - 2021/07/27 Renewable Energy Forecasting - Extreme Quantiles, Data Privacy and nMonetization
Coorientador
Doutoramento em Matemática Aplicada (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal

Participação em evento

Descrição da atividade
Tipo de evento
Nome do evento
Instituição / Organização
2023/09/05 - Atual Keynote speaker in International Ruhr Energy (INREC 2022), "Decision-making in energy markets under uncertainty: human-in-the-loop"
Conferência
International Ruhr Energy - INREC 2022

Júri de grau académico

Tema
Tipo de participação
Nome do candidato (Tipo de grau)
Instituição / Organização
2023/12/15 Development of an algorithm to forecast and schedule the production of a PV power plant with batteries
Arguente
Rafael Alvarenga (Doutoramento)
Université de la Guyane, Guiana Francesa
2023/01 Advanced data-driven fault diagnosis schemes for active distribution grids
Presidente do júri
Paschalia Stefanidou-Voziki (Doutoramento)
Universitat Politècnica de Catalunya, Espanha
2023/01 Peer-to-peer energy exchanges in networks of microgrids
Arguente principal
Ekaterina Dudkina (Doutoramento)
Università degli Studi di Pisa, Itália
2022/12 Leveraging asset management policies with analytics for multi-dependent and heterogeneous multi-asset systems
Arguente
Luis Dias (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2022/11 Weather-based forecasting of energy generation, consumption and price for microgrids management
Arguente
Jonathan Dumas (Doutoramento)
Université de Liège, Bélgica
2022/06 Optimisation of the use of multiple sources of data in short-term photovoltaic generation forecasting models
Arguente
Kevin Bellinguer (Doutoramento)
MINES ParisTech - Sophia Antipolis, França
2021/11 Textual data & Transfer Learning for Time Series Forecasting
Arguente principal
David Obst (Doutoramento)
Aix-Marseille Université, França
2020/07/27 Topics in High Dimensional Energy Forecasting
Arguente principal
Ciaran Gilbert (Doutoramento)
University of Strathclyde, Reino Unido
2020/03/05 Spatio-temporal solar forecasting
Arguente
Rodrigo Amaro e Silva (Doutoramento)
Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
2019/07/03 On the role of smart metering data analytics in the energy sector digitization process
Arguente
Guillaume Le Ray (Doutoramento)
Danmarks Tekniske Universitet, Dinamarca
2019/04/17 Optimization of prosumers fexibility in electricity markets
Arguente
Carlos Adrián Correa Flórez (Doutoramento)
MINES ParisTech - Sophia Antipolis, França
2016/08/30 Real-time Trading Strategies for Proactive Distribution Company with Distributed Generation and Demand Response
Arguente
Qi Wang (Doutoramento)
Danmarks Tekniske Universitet, Dinamarca

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2024/01/01 - Atual Journal of Modern Power Systems and Clean Energy (2196-5420) IEEE
2018/01/01 - 2023/12/31 IEEE Transactions on Sustainable Energy (1949-3037) Institute of Electrical and Electronics Engineers

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2018/09/03 - 2018/09/05 Advanced Data Analytics for Energy Systems EES-UETP: Electric Energy Systems - University Enterprise Training Partnership Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2016/06/15 - 2016/06/17 Risk Management in Power Systems: from Theory to Practice EES-UETP: Electric Energy Systems - University Enterprise Training Partnership Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2016/06/15 - 2016/06/17 Risk Management in Power Systems: from Theory to Practice EES-UETP: Electric Energy Systems - University Enterprise Training Partnership Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Membro de associação

Nome da associação Tipo de participação
2022/03/01 - Atual IEEE Task Force on Data Sharing in Energy Systems Vice-chair
2022/02/01 - Atual Cigré (International Council on Large Electric Systems), WG2.42 – The impact of the growing use of ML-AI in the operation and control of power networks from an operational perspective Secretary
2022/01/01 - Atual IEEE Working Group on Energy Forecasting and Analytics Secretary
Distinções

Prémio

2022 ESIG Excellence Award
2021 IEEE Transactions on Sustainable Energy Outstanding Associated Editors for 2021
2014 Best Paper Selection at the 18th Power Systems Computation Conference (PSCC 2014)

Título

2019 IEEE Senior Member

Outra distinção

2017 IEEE Transactions on Sustainable Energy Outstanding Reviewers
IEEE, Estados Unidos
2016 GPU Grant Program
NVIDIA Corp, Estados Unidos
2014 IEEE Transactions on Sustainable Energy Outstanding Reviewers
IEEE, Estados Unidos
2009 Bolsa de Doutoramento do Programa MIT Portugal