The temporal RL agent embeds temporal awareness to RL by integrating forecasts (e.g., load, PV, and wind generation) into decision-making through an attention-based temporal embedding module.
@inproceedings{heydarian2025embedding,
title={Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control},
author={Heydarian Ardakani, Amirhossein and Hurink, Johann and Gibson, Ian and Shirazi, Elham},
booktitle={Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems},
pages={1002--1004},
year={2025}
}Run the following notebook:
$ 6. attention_TRL.ipynb
| Data | Source |
|---|---|
PV & Wind Generation |
ENTSO-E Transparency Platform |
Load |
ENTSO-E Transparency Platform |
Electricity Price |
ENTSO-E Transparency Platform |
CO2 Emission |
Nationaal Energie Dashboard |