Information theoretic learning applied to wind power modeling. - Ricardo J. Bessa; Vladimiro Miranda; José C. Príncipe; Audun Botterud; Jun Wang (IJCNN, 2010)

Forecasting issues for managing a portfolio of electric vehicles under a smart grid paradigm. - Ricardo J. Bessa; Manuel A. Matos (ISGT Europe, 2012)

Optimized Bidding of a EV Aggregation Agent in the Electricity Market. - Ricardo J. Bessa; Manuel A. Matos; Filipe Joel Soares; João A. Peças Lopes (IEEE Trans. Smart Grid, 2012)

Solar power forecasting in smart grids using distributed information. - Ricardo J. Bessa; Artur Trindade; A. Monteiro; Vladimiro Miranda; Cátia S. P. Silva (PSCC, 2014)

Spatial-Temporal Solar Power Forecasting for Smart Grids. - Ricardo J. Bessa; Artur Trindade; Vladimiro Miranda (IEEE Trans. Ind. Informatics, 2015)

On the quality of the Gaussian copula for multi-temporal decision-making problems. - Ricardo J. Bessa (PSCC, 2016)

Wind power probabilistic forecast in the Reproducing Kernel Hilbert Space. - Cristobal Gallego-Castillo; Alvaro Cuerva-Tejero; Ricardo J. Bessa; Laura Cavalcante (PSCC, 2016)

Surrogate Model of Multi-Period Flexibility from a Home Energy Management System. - Rui Pinto; Ricardo J. Bessa; Manuel A. Matos (CoRR, 2017)

Data Economy for Prosumers in a Smart Grid Ecosystem. - Ricardo J. Bessa; David Rua; Cláudia Abreu; Paulo Machado; José R. Andrade; Rui Pinto; Carla Gonçalves; Marisa Reis (e-Energy, 2018)

The challenges of estimating the impact of distributed energy resources flexibility on the TSO/DSO boundary node operating points. - João Silva; Jean Sumaili Akilimali; Ricardo J. Bessa; Luís Seca; Manuel A. Matos; Vladimiro Miranda (Comput. Oper. Res., 2018)

Active Distribution Grid Management Based on Robust AC Optimal Power Flow. - Tiago Soares; Ricardo J. Bessa; Pierre Pinson; Hugo Morais (IEEE Trans. Smart Grid, 2018)

Data-driven Predictive Energy Optimization in a Wastewater Pumping Station. - Filipe Jorge; Ricardo J. Bessa; Marisa Reis; Rita Alves; Pedro Póvoa (CoRR, 2019)

Simulating Tariff Impact in Electrical Energy Consumption Profiles With Conditional Variational Autoencoders. - Margaux Brégère; Ricardo J. Bessa (IEEE Access, 2020)

Critical Overview of Privacy-Preserving Learning in Vector Autoregressive Models for Energy Forecasting. - Carla Gonçalves; Ricardo J. Bessa; Pierre Pinson (CoRR, 2020)

Forecasting: theory and practice. - Fotios Petropoulos; Daniele Apiletti; Vassilios Assimakopoulos; Mohamed Zied Babai; Devon K. Barrow; Souhaib Ben Taieb; Christoph Bergmeir; Ricardo J. Bessa; Jakub Bijak; John E. Boylan; Jethro Browell; Claudio Carnevale; et al. (CoRR, 2020)

Functional Model of Residential Consumption Elasticity under Dynamic Tariffs. - Kamalanathan Ganesan; João Tomé Saraiva; Ricardo J. Bessa (CoRR, 2021)

An unsupervised approach for fault diagnosis of power transformers. - Luis Dias; Miguel Ribeiro; Armando Leitão; Luís Guimarães; Leonel M. Carvalho; Manuel A. Matos; Ricardo J. Bessa (Qual. Reliab. Eng. Int., 2021)

A Blockchain-based Data Market for Renewable Energy Forecasts. - Fábio Coelho; Filipe Silva; Carla Gonçalves; Ricardo J. Bessa; Ana Nunes Alonso (BCCA, 2022)

Interpretable data-driven solar power plant trading strategies. - Konstantinos Parginos; Ricardo J. Bessa; Simon Camal; Georges Kariniotakis (ISGT-Europe, 2022)

Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms. - José R. Andrade; Conceição Rocha; Ricardo Silva; João P. Viana; Ricardo J. Bessa; Clara Gouveia; B. Almeida; R. J. Santos; Miguel Louro; P. M. Santos; Adrian Ribeiro Ferreira (IEEE Access, 2022)

Coordinated Operation and Flexibility Management of Medium and Low Voltage Grids. - Carolina M. Affonso; Ricardo J. Bessa; Clara S. Gouveia (IAS, 2024)

A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks. - Jochen L. Cremer; Adrian Kelly; Ricardo J. Bessa; Milos Subasic; Panagiotis N. Papadopoulos; Samuel Young; Amar Sagar; Antoine Marot (ISGT EUROPE, 2024)

Data-driven Approach for High Loss Detection in LV Networks. - José Pedro Paulos; Pedro Macedo; Ricardo J. Bessa; J. Nuno Fidalgo; José Oliveira (ISGT EUROPE, 2024)

A Perspective on Foundation Models for the Electric Power Grid. - Hendrik F. Hamann; Thomas Brunschwiler; Blazhe Gjorgiev; Leonardo S. A. Martins; Alban Puech; Anna Varbella; Jonas Weiss; Juan Bernabé-Moreno; Alexandre Blondin Massé; Seong Choi; Ian T. Foster; Bri-Mathias S. Hodge; et al. (CoRR, 2024)

Budget-constrained Collaborative Renewable Energy Forecasting Market. - Carla Gonçalves; Ricardo J. Bessa; Tiago Teixeira; João Vinagre (CoRR, 2025)

On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management. - Timothy Tjhay; Ricardo J. Bessa; José Pedro Paulos (CoRR, 2025)

A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures. - Milad Leyli-Abadi; Ricardo J. Bessa; Jan Viebahn; Daniel Boos; Clark Borst; Alberto Castagna; Ricardo Chavarriaga; Mohamed Hassouna; Bruno Lemetayer; Giulia Leto; Antoine Marot; Maroua Meddeb; et al. (CoRR, 2025)