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Ricardo J. Bessa
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2020 – today
- 2024
- [i9]Jochen L. Cremer, Adrian Kelly, Ricardo J. Bessa, Milos Subasic, Panagiotis N. Papadopoulos, Samuel Young, Amar Sagar, Antoine Marot:
A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks. CoRR abs/2405.17184 (2024) - [i8]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, Rishabh Jain, Kibaek Kim, Vincent Mai, François Mirallès, Martin De Montigny, Octavio Ramos-Leaños, Hussein Suprême, Le Xie, El-Nasser S. Youssef, Arnaud Zinflou, Alexander J. Belvi, Ricardo J. Bessa, Bishnu Prasad Bhattari, Johannes Schmude, Stanislav Sobolevsky:
A Perspective on Foundation Models for the Electric Power Grid. CoRR abs/2407.09434 (2024) - 2022
- [j7]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:
Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms. IEEE Access 10: 73758-73773 (2022) - [c8]Fábio Coelho, Filipe Silva, Carla Gonçalves, Ricardo J. Bessa, Ana Nunes Alonso:
A Blockchain-based Data Market for Renewable Energy Forecasts. BCCA 2022: 297-304 - [c7]Konstantinos Parginos, Ricardo J. Bessa, Simon Camal, Georges Kariniotakis:
Interpretable data-driven solar power plant trading strategies. ISGT-Europe 2022: 1-5 - 2021
- [j6]Luis Dias, Miguel Ribeiro, Armando Leitão, Luís Guimarães, Leonel M. Carvalho, Manuel A. Matos, Ricardo J. Bessa:
An unsupervised approach for fault diagnosis of power transformers. Qual. Reliab. Eng. Int. 37(6): 2834-2852 (2021) - [i7]Kamalanathan Ganesan, João Tomé Saraiva, Ricardo J. Bessa:
Functional Model of Residential Consumption Elasticity under Dynamic Tariffs. CoRR abs/2111.11875 (2021) - 2020
- [j5]Margaux Brégère, Ricardo J. Bessa:
Simulating Tariff Impact in Electrical Energy Consumption Profiles With Conditional Variational Autoencoders. IEEE Access 8: 131949-131966 (2020) - [i6]Carla Gonçalves, Ricardo J. Bessa, Pierre Pinson:
Critical Overview of Privacy-Preserving Learning in Vector Autoregressive Models for Energy Forecasting. CoRR abs/2004.09612 (2020) - [i5]Margaux Brégère, Ricardo J. Bessa:
Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders. CoRR abs/2006.07115 (2020) - [i4]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, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li:
Forecasting: theory and practice. CoRR abs/2012.03854 (2020)
2010 – 2019
- 2019
- [i3]Filipe Jorge, Ricardo J. Bessa, Marisa Reis, Rita Alves, Pedro Póvoa:
Data-driven Predictive Energy Optimization in a Wastewater Pumping Station. CoRR abs/1902.03417 (2019) - [i2]Ricardo J. Bessa, David Rua, Cláudia Abreu, Paulo Machado, José R. Andrade, Rui Pinto, Carla Gonçalves, Marisa Reis:
Data Economy for Prosumers in a Smart Grid Ecosystem. CoRR abs/1911.05488 (2019) - 2018
- [j4]João Silva, Jean Sumaili Akilimali, Ricardo J. Bessa, Luís Seca, Manuel A. Matos, Vladimiro Miranda:
The challenges of estimating the impact of distributed energy resources flexibility on the TSO/DSO boundary node operating points. Comput. Oper. Res. 96: 294-304 (2018) - [j3]Tiago Soares, Ricardo J. Bessa, Pierre Pinson, Hugo Morais:
Active Distribution Grid Management Based on Robust AC Optimal Power Flow. IEEE Trans. Smart Grid 9(6): 6229-6241 (2018) - [c6]Ricardo J. Bessa, David Rua, Cláudia Abreu, Paulo Machado, José R. Andrade, Rui Pinto, Carla Gonçalves, Marisa Reis:
Data Economy for Prosumers in a Smart Grid Ecosystem. e-Energy 2018: 622-630 - 2017
- [i1]Rui Pinto, Ricardo J. Bessa, Manuel A. Matos:
Surrogate Model of Multi-Period Flexibility from a Home Energy Management System. CoRR abs/1703.08825 (2017) - 2016
- [c5]Ricardo J. Bessa:
On the quality of the Gaussian copula for multi-temporal decision-making problems. PSCC 2016: 1-7 - [c4]Cristobal Gallego-Castillo, Alvaro Cuerva-Tejero, Ricardo J. Bessa, Laura Cavalcante:
Wind power probabilistic forecast in the Reproducing Kernel Hilbert Space. PSCC 2016: 1-7 - 2015
- [j2]Ricardo J. Bessa, Artur Trindade, Vladimiro Miranda:
Spatial-Temporal Solar Power Forecasting for Smart Grids. IEEE Trans. Ind. Informatics 11(1): 232-241 (2015) - 2014
- [c3]Ricardo J. Bessa, Artur Trindade, A. Monteiro, Vladimiro Miranda, Cátia S. P. Silva:
Solar power forecasting in smart grids using distributed information. PSCC 2014: 1-7 - 2012
- [j1]Ricardo J. Bessa, Manuel A. Matos, Filipe Joel Soares, João A. Peças Lopes:
Optimized Bidding of a EV Aggregation Agent in the Electricity Market. IEEE Trans. Smart Grid 3(1): 443-452 (2012) - [c2]Ricardo J. Bessa, Manuel A. Matos:
Forecasting issues for managing a portfolio of electric vehicles under a smart grid paradigm. ISGT Europe 2012: 1-8 - 2010
- [c1]Ricardo J. Bessa, Vladimiro Miranda, José C. Príncipe, Audun Botterud, Jun Wang:
Information theoretic learning applied to wind power modeling. IJCNN 2010: 1-8
Coauthor Index
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