INESC TEC
INESC TEC
INESC TEC
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Carla Silva Gonçalves

Carla Silva Gonçalves

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.

Publications

Data Science for Next Generation Renewable Energy Forecasting - Highlight Results from the Smart4RES Project

Kariniotakis, G;Camal, S;Sossan, F;Nouri, B;Lezaca, J;Lange, M;Alonzo, B;Libois, Q;Pinson, P;Bessa, R;Goncalves, C;

2021

IET Conference Proceedings

A Blockchain-based Data Market for Renewable Energy Forecasts

Coelho, F;Silva, F;Goncalves, C;Bessa, R;Alonso, A;

2022

2022 FOURTH INTERNATIONAL CONFERENCE ON BLOCKCHAIN COMPUTING AND APPLICATIONS (BCCA)

A critical overview of privacy-preserving approaches for collaborative forecasting

Goncalves, C;Bessa, RJ;Pinson, P;

2021

INTERNATIONAL JOURNAL OF FORECASTING

Conditional parametric model for sensitivity factors in LV grids: A privacy-preserving approach

Sampaio, G;Bessa, RJ;Goncalves, C;Gouveia, C;

2022

ELECTRIC POWER SYSTEMS RESEARCH

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Supervised theses

Deep Learning for Improved Detection of Subtle

José Carlos Nunes Maurício

M - 2024

UP-FCUP