Citing¶
If you use SmartCer in your research, please cite the software:
@software{smartcer,
author = {Guiducci, Leonardo},
title = {SmartCer: A Gymnasium Environment for Renewable Energy Communities},
year = {2026},
version = {1.0.1},
url = {https://github.com/unisi-lab305/SmartCer},
}
If you use the reinforcement learning formulation, please also cite:
@inproceedings{guiducci2023meco,
author = {Guiducci, Leonardo and Palma, Giulia and Stentati, Marta and Rizzo, Antonio and Paoletti, Simone},
title = {A Reinforcement Learning approach to the management of Renewable Energy Communities},
booktitle = {2023 12th Mediterranean Conference on Embedded Computing (MECO)},
year = {2023},
pages = {1--8},
doi = {10.1109/MECO58584.2023.10154979}
}
The repository also has a CITATION.cff file, which GitHub shows as “Cite this repository”.
The model follows:
M. Stentati, S. Paoletti, A. Vicino, Optimization of energy communities in the Italian incentive system, IEEE PES ISGT-Europe 2022.
L. Guiducci, G. Palma, M. Stentati, A. Rizzo, S. Paoletti, A Reinforcement Learning approach to the management of Renewable Energy Communities, MECO 2023.
D. C. Heath, P. L. Jackson, Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems, IIE Transactions 26(3), pp. 17-30, 1994 (martingale model of forecast evolution).
License¶
SmartCer is released under the MIT License. See the LICENSE file.
Acknowledgements¶
TODO(verify)
Developed within the SUMMA project, funded by Fondo per la Repubblica Digitale (crescerAI). Wording and funding details to be verified before publication.