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Carla Gonçalves is a Postdoctoral Researcher at the Centre for Power and Energy Systems in INESC TEC. In 2021, she obtained a Ph.D. in Applied Mathematics from the Faculty of Sciences of the University of Porto (FCUP). She received the M.Sc. in Applied Mathematics from FCUP, in 2015. From 2015 to 2019, she was involved in a wide range of energy forecast consulting collaborations between INESC TEC and the industry: REN (Portugal), EDP Renewables (Spain), RTE (France), and EDP Gestão da Produção de Energia (Portugal). Until 2022, she was associated with the H2020 Smart4RES project, and since 2023, she is taking part in the European ENERSHARE and GREEN.DAT.AI projects. Her research has been focused on probabilistic and collaborative forecasting methods, with a special emphasis on renewable energies, data privacy, and monetization. During her scientific career, she has co-authored 13 scientific papers (6 Q1 journals with impact factors between 3.818 and 8.310, and 7 international conference proceedings) and has submitted a patent (currently pending). She also served as an Invited Auxiliary Professor at the University of Porto for two semesters.
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Identification

Personal identification

Full name
Carla Gonçalves
Date of birth
1992/02/01
Gender
Female

Citation names

  • Gonçalves, Carla
  • Carla Gonçalves
  • C. Gonçalves

Author identifiers

Ciência ID
951C-A14F-9E61
ORCID iD
0000-0001-5684-9933

Email addresses

  • carla.s.goncalves@inesctec.pt (Professional)

Knowledge fields

  • Exact Sciences - Mathematics - Applied Mathematics
  • Exact Sciences - Mathematics - Statistics and Probability
  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Proficiency (C2) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2016/09/26 - 2021/07/14
Concluded
 Applied Mathematics (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
"Renewable Energy Forecasting - Extreme Quantiles, Data Privacy and Monetization (https://repositorio-aberto.up.pt/bitstream/10216/135580/2/487920.pdf)" (THESIS/DISSERTATION)
 Approved
2016/09/26 - 2017/09/19
Concluded
 Advanced Topics in Applied Mathematics (Curso de doutoramento (conclusão de unidades curriculares))
Major in Applied mathematics
Universidade do Porto Faculdade de Ciências, Portugal
 18
2013/09/16 - 2015/12/11
Concluded
 Mathematical Engineering (Mestrado)
Major in Applied mathematics
Universidade do Porto Faculdade de Ciências, Portugal
"Modelação de quotas de mercado" (THESIS/DISSERTATION)
 17
2010/09/13 - 2013/06/28
Concluded
 Mathematics (Licenciatura)
Major in Matemática Aplicada
Universidade do Porto Faculdade de Ciências, Portugal
 16
Affiliation

Science

Category
Host institution 		Employer
2021/08/16 - Current Postdoc (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2015/10/12 - 2021/08/14 Researcher (Research) Fundação para a Ciência e a Tecnologia, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Center for Research in Advanced Computing Systems, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2022/09/01 - 2023/02/28 Invited Assistant Professor (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal
2021/04/19 - 2021/07/31 Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal
Projects

Contract

Designation Funders
2023/06/01 - 2025/12/31 GREEN.DAT.AI - Energy-efficient AI-ready Data Spaces
101070416
Ongoing
2023/01/01 - 2025/06/30 ENERSHARE - European commoN EneRgy dataSpace framework enabling data sHaring-driven Across- and beyond- eneRgy sErvices
101069831
Ongoing
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
864337
Concluded
Outputs

Publications

Conference abstract
  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". Paper presented in 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". Paper presented in Wind Energy Science Conference 2017, Mini Symposia, 2017.
Conference paper
  1. Coelho, Fabio; Silva, Filipe; Goncalves, Carla; Bessa, Ricardo; Alonso, Ana. "A Blockchain-based Data Market for Renewable Energy Forecasts". Paper presented in Fourth International Conference on Blockchain Computing and Applications (BCCA), 2022.
    10.1109/bcca55292.2022.9922150
  2. Kariniotakis, G.; Camal, S.; Sossan, F.; Nouri, B.; Lezaca, J.; Lange, M.; Alonzo, B.; et al. "Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project". 2021.
    10.1049/icp.2021.2499
  3. Goncalves, Carla; Ribeiro, Miguel; Viana, Joao; Fernandes, Renato; Villar, Jose; Bessa, Ricardo; Correia, Goncalo; et al. "Explanatory and Causal Analysis of the Portuguese Manual Balancing Reserve". Madrid, 2021.
    10.1109/powertech46648.2021.9494983
  4. Goncalves, Carla; Ribeiro, Miguel; Viana, Joao; Fernandes, Renato; Villar, Jose; Bessa, Ricardo; Correia, Goncalo; et al. "Explanatory and Causal Analysis of the MIBEL Electricity Market Spot Price". 2019.
    10.1109/ptc.2019.8810763
  5. Vasconcelos, M. H.; Goncalves, C.; Meirinhos, J.; Omont, N.; Pitto, A.; Ceresa, G.. "Evaluation of the Uncertainties used to Perform Flow Security Assessment: A Real Case Study". 2019.
    10.1109/ptc.2019.8810649
  6. Bessa, Ricardo J.; Rua, David; Abreu, Cláudia; Machado, Paulo; Andrade, José R.; Pinto, Rui; Gonçalves, Carla; Reis, Marisa. "Data Economy for Prosumers in a Smart Grid Ecosystem". 2018.
    10.1145/3208903.3210282
  7. 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
Journal article
  1. Sampaio, Gil; Bessa, Ricardo J.; Gonçalves, Carla; Gouveia, Clara. "Conditional parametric model for sensitivity factors in LV grids: A privacy-preserving approach". Electric Power Systems Research 211 (2022): 108316. http://dx.doi.org/10.1016/j.epsr.2022.108316.
    10.1016/j.epsr.2022.108316
  2. Goncalves, Carla; Bessa, Ricardo J.; Pinson, Pierre. "Privacy-Preserving Distributed Learning for Renewable Energy Forecasting". IEEE Transactions on Sustainable Energy 12 3 (2021): 1777-1787. http://dx.doi.org/10.1109/tste.2021.3065117.
    10.1109/tste.2021.3065117
  3. Carla Gonçalves; Laura Cavalcante; Margarida Brito; Ricardo J. Bessa; João Gama. "Forecasting conditional extreme quantiles for wind energy". Electric Power Systems Research 190 (2021): 106636-106636. https://doi.org/10.1016/j.epsr.2020.106636.
    10.1016/j.epsr.2020.106636
  4. Gonçalves, Carla; Bessa, Ricardo J.; Pinson, Pierre. "A critical overview of privacy-preserving approaches for collaborative forecasting". International Journal of Forecasting 37 1 (2021): 322-342. http://dx.doi.org/10.1016/j.ijforecast.2020.06.003.
    10.1016/j.ijforecast.2020.06.003
  5. Goncalves, Carla; Pinson, Pierre; Bessa, Ricardo J.. "Towards Data Markets in Renewable Energy Forecasting". IEEE Transactions on Sustainable Energy 12 1 (2021): 533-542. http://dx.doi.org/10.1109/tste.2020.3009615.
    10.1109/tste.2020.3009615
  6. Vasconcelos, M.H.; Gonçalves, C.; Meirinhos, J.; Omont, N.; Pitto, A.; Ceresa, G.. "A methodology to evaluate the uncertainties used to perform security assessment for branch overloads". International Journal of Electrical Power & Energy Systems 112 (2019): 169-177. http://dx.doi.org/10.1016/j.ijepes.2019.04.043.
    10.1016/j.ijepes.2019.04.043
Thesis / Dissertation
  1. "Renewable Energy Forecasting - Extreme Quantiles, Data Privacy and Monetization.". PhD, Universidade do Porto Faculdade de Ciências, 2021. https://repositorio-aberto.up.pt/bitstream/10216/135580/2/487920.pdf.
  2. "Modelação de Quotas de Mercado (Modeling of Market Shares)". Master, Universidade do Porto Faculdade de Ciências, 2015. https://repositorio-aberto.up.pt/handle/10216/82356.

Intellectual property

Patent
  1. Bessa, R.J.G.S.B; Gonçalves, C.S.S.. 2022. "Method and device for preserving privacy of linear regression distributed learning". Portugal.
    Granted/Issued
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/06/25 Tutorial on data value and markets
School of Electrical Engineering Belgrade – University of Belgrade (Belgrade, Serbia)
2023/04/14 Privacy-preserving data-sharing for energy forecasting Final conference Smart4RES EU project
(Paris, France)
2020/10/16 Data market for collaborative renewable energy forecasting 40th International Symposium on Forecasting
International Institute of Forecasters (Rio de Janeiro, Brazil)
2020/07/01 Forecasting conditional extreme quantiles for wind energy Power Systems Computation Conference (PSCC)
INESC TEC (Porto)
2017/06/26 Feature extraction techniques that improve wind power probabilistic forecasting Wind Energy Science Conference 2017, Mini Symposia "Wind Power Forecasting"
Denmark Technical University (DTU) (Lyngby, Denmark)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2022/10/03 - 2023/11/20 Data markets for collaborative forecasting in the energy sector
Supervisor
 Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2022/02/01 - 2022/12/13 Operational efficiency in the detection of TCA in natural and champagne corks: a statistical analysis
Co-supervisor
 Computational Statistics and Data Analysis (Master)
Universidade do Porto Faculdade de Ciências, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2021/09/15 - 2021/09/15 Training for REN (Portuguese Transmission System Operator). Main role: explanation and illustration of multivariate and probabilistic power forecasting.
Workshop
 CampusREN
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2018/07/03 - 2018/07/03 Training for REN (Portuguese Transmission System Operator). Main role: explanation and illustration of multivariate and probabilistic power forecasting.
Workshop
 CampusREN
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2017/07/07 - 2017/07/07 Training for REN (Portuguese Transmission System Operator). Main role: explanation and illustration of multivariate and probabilistic power forecasting.
Workshop
 CampusREN
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2022/12/12 Conformal Prediction for Reliable Machine Learning: A Review with Contributions
(Thesis) Main arguer
 Martim Sousa (Master)
Universidade de Aveiro, Portugal

Ad Hoc journal article review

Journal title (ISSN) Publisher
2021/02/01 - Current IEEE Transactions on Smart Grid (1949-3053) Institute of Electrical and Electronics Engineers
2021/01/07 - Current Machine Learning (1573-0565) Elsevier
2019/09/06 - Current IEEE Transactions on Power Systems (1558-0679) Institute of Electrical and Electronics Engineers
2019/06/04 - Current International Journal of Forecasting Elsevier
2018/08/05 - Current IEEE Power Engineering Letters (1558-1705) Institute of Electrical and Electronics Engineers
2018/03/15 - Current IEEE Transactions on Sustainable Energy (1949-3037) Institute of Electrical and Electronics Engineers

Consulting

Activity description Institution / Organization
2018/09/01 - 2019/01/31 Contract with EDP - Gestão da Produção de Energia, S.A.: Understanding the main factors that influence the electricity prices and the mobilization of reserves. Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

EDP - Gestão da Produção de Energia, S.A, Portugal
2017/09/01 - 2018/09/30 Contract with RTE France (transmission system operator): Development of computation methods and tools in order to assess the advantages of using uncertainty models (that estimate conditional quantiles) to predict the security of electrical systems in case of overloading in the branches. Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Reseau de Transport d'Electricite, France
2016/05/01 - 2017/03/30 Contract with EDP Renewables: Development of probabilistic wind power forecast methods based on quantile regression in the reproducing kernel Hilbert space (RKHS) and weather ensembles. Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

EDP Renewables, Spain
2015/10/12 - 2016/04/30 Contract with REN (transmission system operator): Development of statistical decision tools to estimate: a) the operational reserve level of the electrical system, b) the maximum import net transfer capacity levels, that guarantees that a certain risk is not surpassed. Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Redes Energéticas Nacionais SGPS SA, Portugal
2014/09/01 - 2015/02/28 M.Sc. internship in market-share modeling based on promotional campaigns and data mining techniques. SONAE, Portugal

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2021/05/17 - 2021/11/25 Student member in evaluation/accreditation committees of study cycles, masters and doctorates, in the area of Mathematics.
Evaluator
 A3ES - Agência de Avaliação e Acreditação do Ensino Superior, Portugal

Interview (newspaper / magazine)

Activity description Newspaper / Forum
2022/09/28 Interview about the work developed at Smart4RES which led to the nomination for the EUSEW2022 Award. Edifícios e Energia
2021/07/12 Business model for start-up based on data monetization. Expresso

Interview (tv / radio show)

Program Topic
2022/09/07 - 2022/09/07 Negócios em Português (TSF) Incentive mechanisms for collaborative renewable energy forecasting
2022/08/31 - 2022/08/31 Manhã Informativa (Porto Canal) Incentive mechanisms for energy data sharing (related to the EUSEW2022 Awards nomination)

Scientific expedition

Activity description Institution / Organization
2019/04/01 - 2019/09/30 Part of the doctoral work was developed in collaboration with Professor Pierre Pinson from the Technical University of Denmark (DTU). This collaboration led to a six-month external stay at DTU (Lyngby, Denmark). Danmarks Tekniske Universitet, Denmark
Distinctions

Award

2022 Finalist in the European Sustainable Energy Awards - Young Energy Trailblazer Category
European Climate Infrastructure and Environment Executive Agency, Belgium
2022 EDP Labelec Merit Award
EDP, Portugal
2016 PhD Research Grant from the Doctoral Program (FCT grant PD/BD/128189/2016)
Fundação para a Ciência e a Tecnologia, Portugal

Other distinction

2018 Limelight Series (monthly distinction of INESC TEC employees)
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal