Publications

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@thesis{henriques_use_2020,
  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}
}