
José Ricardo Andrade
José Andrade obtained an M.Sc. degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP), Portugal, in 2016. He currently works as a researcher at the Centre for Power and Energy Systems at INESC TEC, where he actively contributes to conceptualizing, developing, and integrating multiple forecasting and decision support systems in various areas of the energy sector. He has participated in several national and international projects involving high TRL technology, such as the European Projects H2020 Integrid, H2020 Smart4RES, H2020 InterConnect, HorizonEU Enershare, and HorizonEU GreenDatAI. His research interests include energy analytics, renewable energy and electricity price forecasting, data markets, and natural language processing, applied to different challenges in the energy sector.
Projects
InteGrid
The InteGrid project aims to test on the field innovative solutions of smart grids based on three pillars: flexible power consumption for domestic and industrial consumers, energy storage systems and forecasts for the production of renewable energy and consumption. InteGrid will install five smart grid demonstrators - 3 in Portugal, one in Sweden and one in Slovenia. INESC TEC is the technical coordinator of this project.

SOLAR4DR
Development of short-term (72 hours ahead) solar power forecasting algorithms for buldings.
Publications
Uncertainty-Aware Procurement of Flexibilities for Electrical Grid Operational Planning
Bessa, RJ;Moaidi, F;Viana, J;Andrade, JR;
2024
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Easing Predictors Selection in Electricity Price Forecasting with Deep Learning Techniques
Silva, AR;Fidalgo, JN;Andrade, JR;
2023
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
ML-Assistant for human operators to solve faults and classify events complexity in electrical grids
Campos, V;Andrad, JR;Bessa, RJ;Gouveia, C;
2022
13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022)
Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms
Andrade, JR;Rocha, C;Silva, R;Viana, JP;Bessa, RJ;Gouveia, C;Almeida, B;Santos, RJ;Louro, M;Santos, PM;Ribeiro, AF;
2022
IEEE ACCESS
Supervised theses
Avaliação da Viabilidade do Reconhecimento da Expressão Facial na Avaliação da Fadiga Muscular na Reabilitação Física do Membro Superior
SORAIA DANIELA TABORDA MOREIRA
M - 2024
IPP-ISEP