???global.info.a_carregar???
Carla Gonçalves is a researcher and academic specializing in applied mathematics, data science, and renewable energy forecasting, with a strong focus on data privacy and market-driven collaborative data sharing. She holds a Ph.D. in Applied Mathematics (2021) from Universidade do Porto, where her research explored extreme quantiles, data privacy, and data monetization in energy systems. Carla has contributed to European projects like Smart4RES, ENERSHARE and GREEN.DAT.AI. Her work has been recognized with awards such as the EDP Labelec Merit Award and a finalist position in the European Sustainable Energy Awards. She has served as a consultant, collaborating with industry leaders like REN (Portugal), EDP Renewables (Spain), RTE (France), EDP Gestão da Produção de Energia (Portugal), and ELIA (Belgium). She also has teaching experience as an invited assistant professor at Universidade do Porto.
Read full resume ↓
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
2024/09/01 - 2025/02/28 Invited Assistant Professor (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
Universidade do Porto Faculdade de Engenharia, Portugal
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)
2024/12/03 Designing Incentives for Collaborative Forecasting DaSSWeb - Data Science and Statistics Webinar
Faculty of Economy University of Porto (FEP) (Porto, Portugal)
2024/11/20 Creating Incentives for Collaborative Forecasting: A Path to Better Decisions Presentation for PhD students in a Curricular Unit “Digitalization in Electricity Systems”
EPFL (Lausanne, Switzerland), online (Switzerland)
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
2024/09/23 - Current Privacy and Profit: Monetization Strategies for Privacy-Preserving Forecasting with Blockchain Support
Co-supervisor of José Luís Rodrigues
 Engenharia Informática (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2024/09/16 - Current Incentives for data and knowledge sharing in the energy sector
Supervisor
 Modelação, Análise de Dados e Sistemas de Apoio à Decisão (Master)
Universidade do Porto Faculdade de Economia, Portugal
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
2024/05/27 - 2024/05/27 Data sharing in the energy sector: the Data Market concept
Round table
 The Shape of Energy to Come
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2024/04/16 - 2024/04/16 Visionary event
Other
 Challenges and Opportunities of Foundational Models and Generative AI for Science and Society
European Research Consortium for Informatics and Mathematics, France
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
2024/07/19 Ensuring Time Series Data Privacy via Complex Networks
(Thesis) Main arguer
 Jaime Vale (Master)
Universidade do Porto Faculdade de Ciências, Portugal
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
2024/11/08 - 2025/04/07 Collaborative Forecasting Platform for ELIA. A platform designed to promote and incentivize ensemble forecasting for offshore wind energy. Forecasters are compensated based on the accuracy and value of their contributions to the ensemble forecast. Elia Transmission Belgium, Belgium
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

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2024/09/01 - 2025/02/28 Signals and Systems (L.EEC015) Engenharia Eletrotécnica e de Computadores (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal
2022/09/01 - 2023/02/28 Computation (L.EC003) Engenharia Civil (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal
2021/04/19 - 2021/07/31 Statistical Methods (EMG0020) - theoretical classes Engenharia de Minas e Geo-Ambiente (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal
2021/04/19 - 2021/07/31 Statistical Methods (EMG0020) - theoretical classes Engenharia do Ambiente (Licenciatura) Universidade do Porto Faculdade de Engenharia, Portugal

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2024/02/28 - 2024/05/07 National member of evaluation/accreditation committee for a new study cycle (Bachelor's Degree in Data Analysis and Engineering).
Evaluator
 A3ES - Agência de Avaliação e Acreditação do Ensino Superior, Portugal
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
2024/11/26 Project by research institute Inesc Tec gives electrical grid operators a tool to reward the most accurate predictions of electrical energy production. The first client of the Predico platform, still in the testing phase, is out there: it is the Belgian Elia Expresso
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)

Other jury / evaluation

Activity description Institution / Organization
2024/06/28 - 2024/06/28 Privacy and confidentiality preserving data-sharing methods for the optimisation of multi-actor energy systems (2nd-year PhD Thesis Progress Report Evaluation) Mines Paris - PSL, France
2023/06/09 - 2023/06/09 Privacy and confidentiality preserving data-sharing methods for the optimisation of multi-actor energy systems (1st-year PhD Thesis Progress Report Evaluation) Mines Paris - PSL, France

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