ALAMO:Accurate federated Learning with uncertainty quantification for DER forecasting Applied to sMart Grids planning and Operation

2025

PES General Meeting

Contextual Prediction of Electric Vehicles Charging Using Transfer Learning

Catarina, Henriques, Tiago, Pinto, and Morais, Hugo

In IEEE PES 2025 Jul 2025

Bib

@inproceedings{henriques_contextual_2025,
  abbr = {PES General Meeting},
  bibtex_show = {true},
  title = {Contextual Prediction of Electric Vehicles Charging Using Transfer Learning},
  shorttitle = {Contextual prediction of electric vehicles charging using transfer learning},
  author = {Henriques, Catarina and Pinto, Tiago and Morais, Hugo},
  year = {2025},
  month = jul,
  booktitle = {IEEE PES 2025}
}

Energies

Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection

Eduardo, Gomes, Augusto, Esteves, Hugo, Morais, and Pereira, Lucas

Energies Mar 2025

Bib HTML

@article{gomes_2025,
  abbr = {Energies},
  bibtex_show = {true},
  title = {Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection},
  shorttitle = {Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection},
  author = {Gomes, Eduardo and Esteves, Augusto and Morais, Hugo and Pereira, Lucas},
  html = {https://www.mdpi.com/1996-1073/18/5/1282},
  year = {2025},
  month = mar,
  journal = {Energies},
  volume = {18},
  number = {5},
  pages = {1282},
  publisher = {Multidisciplinary Digital Publishing Institute},
  issn = {1996-1073},
  doi = {10.3390/en18051282},
  urldate = {2025-03-08},
  copyright = {http://creativecommons.org/licenses/by/3.0/},
  langid = {english}
}

2024

CIRED Chicago

Enhancing LV System Resilience through Probabilistic Forecasting of Interdependent Variables: Voltage, Reactive and Active Power

Anthony, Faustine, and Pereira, Lucas

In IET Conference Proceedings Nov 2024

Bib HTML

@inproceedings{faustine_enhancing_2025,
  abbr = {CIRED Chicago},
  bibtex_show = {true},
  title = {Enhancing {{LV}} System Resilience through Probabilistic Forecasting of Interdependent Variables: Voltage, Reactive and Active Power},
  shorttitle = {Enhancing {{LV}} System Resilience through Probabilistic Forecasting of Interdependent Variables},
  booktitle = {{{IET Conference Proceedings}}},
  author = {Faustine, Anthony and Pereira, Lucas},
  html = {https://www.alspereira.info/pubs/cired-chicago-2024-b/},
  year = {2024},
  month = nov,
  volume = {2024},
  pages = {27--31},
  publisher = {IET},
  address = {Chicago, IL, USA},
  doi = {10.1049/icp.2024.2555},
  urldate = {2025-02-08}
}

CIRED Chicago

Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience

Lucas, Pereira, Vineet, Nair, Bruno, Dias, Hugo, Morais, and Annaswamy, Anuradha

In IET Conference Proceedings Nov 2024

Bib HTML

@inproceedings{pereira_federated_2025,
  abbr = {CIRED Chicago},
  bibtex_show = {true},
  title = {Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience},
  booktitle = {{{IET Conference Proceedings}}},
  author = {Pereira, Lucas and Nair, Vineet and Dias, Bruno and Morais, Hugo and Annaswamy, Anuradha},
  html = {https://www.alspereira.info/pubs/cired-chicago-2024-a/},
  year = {2024},
  month = nov,
  volume = {2024},
  pages = {246--250},
  publisher = {IET},
  address = {Chicago, IL, USA},
  doi = {10.1049/icp.2024.2608},
  urldate = {2025-02-08}
}

IECON

Data-Driven Approach to Predict the Consumption of Electrical Energy in Households Using Features from Non-Electric Data

Fabio, Sayeg, Joao, Gois, and Pereira, Lucas

In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society Nov 2024

Bib HTML

@inproceedings{sayeg_data-driven_2024,
  abbr = {IECON},
  bibtex_show = {true},
  title = {Data-{{Driven Approach}} to {{Predict}} the {{Consumption}} of {{Electrical Energy}} in {{Households Using Features}} from {{Non-Electric Data}}},
  booktitle = {{{IECON}} 2024 - 50th {{Annual Conference}} of the {{IEEE Industrial Electronics Society}}},
  author = {Sayeg, Fabio and Gois, Joao and Pereira, Lucas},
  html = {https://www.alspereira.info/pubs/iecon-2024/},
  year = {2024},
  month = nov,
  publisher = {IEEE},
  address = {Chicago, IL, USA},
  langid = {english}
}

CIRED

Accurate Federated Learning with Uncertainty Quantification for Distributed Energy Resource Forecasting Applied to Smart Grids Planning and Operation: The ALAMO Vision

Lucas, Pereira, Vineet, Nair, Anuradha, Annaswamy, Bruno, Dias, and Morais, Hugo

In IET Conference Proceedings Jun 2024

Bib HTML

@inproceedings{pereira_accurate_2025,
  abbr = {CIRED},
  bibtex_show = {true},
  title = {Accurate Federated Learning with Uncertainty Quantification for Distributed Energy Resource Forecasting Applied to Smart Grids Planning and Operation: The {{ALAMO}} Vision},
  shorttitle = {Accurate Federated Learning with Uncertainty Quantification for Distributed Energy Resource Forecasting Applied to Smart Grids Planning and Operation},
  booktitle = {{{IET Conference Proceedings}}},
  author = {Pereira, Lucas and Nair, Vineet and Annaswamy, Anuradha and Dias, Bruno and Morais, Hugo},
  html = {https://www.alspereira.info/pubs/cired-2024/},
  year = {2024},
  month = jun,
  volume = {2024},
  pages = {1123--1126},
  publisher = {IET},
  address = {Viena, Austria},
  doi = {10.1049/icp.2024.1930},
  urldate = {2025-02-08}
}

MELECON

A Computational Implementation to Forecast Electric Vehicles Usage in the Power System

Herbert, Amezquita, Cindy P., Guzman, and Morais, Hugo

In 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) Jun 2024

Bib HTML

@inproceedings{amezquita_computational_2024,
  abbr = {MELECON},
  bibtex_show = {true},
  title = {A {{Computational Implementation}} to {{Forecast Electric Vehicles Usage}} in the {{Power System}}},
  booktitle = {2024 {{IEEE}} 22nd {{Mediterranean Electrotechnical Conference}} ({{MELECON}})},
  author = {Amezquita, Herbert and Guzman, Cindy P. and Morais, Hugo},
  html = {https://ieeexplore.ieee.org/document/10608512},
  year = {2024},
  month = jun,
  pages = {1374--1379},
  issn = {2158-8481},
  doi = {10.1109/MELECON56669.2024.10608512},
  urldate = {2024-10-03}
}

Energies

Forecasting Electric Vehicles’ Charging Behavior at Charging Stations: A Data Science-Based Approach

Herbert, Amezquita, Cindy P., Guzman, and Morais, Hugo

Energies Jan 2024

Bib HTML

@article{amezquita_forecasting_2024,
  abbr = {Energies},
  bibtex_show = {true},
  title = {Forecasting {{Electric Vehicles}}' {{Charging Behavior}} at {{Charging Stations}}: {{A Data Science-Based Approach}}},
  shorttitle = {Forecasting {{Electric Vehicles}}' {{Charging Behavior}} at {{Charging Stations}}},
  author = {Amezquita, Herbert and Guzman, Cindy P. and Morais, Hugo},
  html = {https://www.mdpi.com/1996-1073/17/14/3396},
  year = {2024},
  month = jan,
  journal = {Energies},
  volume = {17},
  number = {14},
  pages = {3396},
  publisher = {Multidisciplinary Digital Publishing Institute},
  issn = {1996-1073},
  doi = {10.3390/en17143396},
  urldate = {2024-10-03},
  copyright = {http://creativecommons.org/licenses/by/3.0/},
  langid = {english}
}

Theses

2025

MSc. Thesis

Federated Learning Forecasting for Household Demand and PV Production: New Perspectives of Fairness and Personalization through Regularization

Monteiro, Diogo

Jul 2025

Bib HTML

@thesis{monteiro_federated_2025,
  abbr = {MSc. Thesis},
  bibtex_show = {true},
  type = {{{MSc}}},
  title = {Federated Learning Forecasting for Household Demand and PV Production: New Perspectives of Fairness and Personalization through Regularization},
  html = {https://fenix.tecnico.ulisboa.pt/cursos/mecd/dissertacao/1128253548924248},
  author = {Monteiro, Diogo},
  year = {2025},
  month = jul,
  address = {{Lisbon, Portugal}},
  langid = {english},
  school = {T\'ecnico Lisboa, University of Lisbon}
}

2024

MSc. Thesis

Use of Transfer Learning in Forecast Algorithms Applied to Electric Vehicles Charging Stations Consumption

Henriques, Catarina

Dec 2024

Bib HTML

@thesis{henriques_use_2024,
  abbr = {MSc. Thesis},
  bibtex_show = {true},
  type = {{{MSc}}},
  title = {Use of Transfer Learning in Forecast Algorithms Applied to Electric Vehicles Charging Stations Consumption},
  html = {https://fenix.tecnico.ulisboa.pt/cursos/meec21/dissertacao/1409728525633512},
  author = {Henriques, Catarina},
  year = {2024},
  month = dec,
  address = {{Lisbon, Portugal}},
  langid = {english},
  school = {T\'ecnico Lisboa, University of Lisbon}
}