Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study.
Kevin Roitero|Andrea Zancola|Vincenzo Della Mea|Stefano Mizzaro
| Anthology ID: | DBLP:conf/ecir/RoiteroZMM25 |
|---|---|
| Volume: | Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V |
| Year: | 2025 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 151-156 |
| URL: | https://doi.org/10.1007/978-3-031-88720-8_25 |
| DOI: | https://doi.org/10.1007/978-3-031-88720-8_25 |
| DBLP: | conf/ecir/RoiteroZMM25 |
| BibTeX: |
@inproceedings{roitero-2025-leveraging,
author = {Kevin Roitero and
Andrea Zancola and
Vincenzo Della Mea and
Stefano Mizzaro},
editor = {Claudia Hauff and
Craig Macdonald and
Dietmar Jannach and
Gabriella Kazai and
Franco Maria Nardini and
Fabio Pinelli and
Fabrizio Silvestri and
Nicola Tonellotto},
title = {{Leveraging LLMs for Energy Forecasting: The AcegasApsAmga Case Study}},
booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V}},
series = {Lecture Notes in Computer Science},
volume = {15576},
pages = {151--156},
publisher = {Springer},
year = {2025},
url = {https://doi.org/10.1007/978-3-031-88720-8_25},
doi = {https://doi.org/10.1007/978-3-031-88720-8_25}
}