RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage...

[PDF] arxiv.org

An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains

W Xia, G Peng, C Wang, P Palensky, E Pauwels… - arXiv preprint arXiv …, 2024 - arxiv.org
Electricity Consumption Profiles (ECPs) are crucial for operating and planning power
distribution systems, especially with the increasing numbers of various low-carbon …
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[PDF] arxiv.org

Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks

S Hou, P Palensky, PP Vergara - arXiv preprint arXiv:2411.00995, 2024 - arxiv.org
The integration of distributed energy resources (DER) has escalated the challenge of
voltage magnitude regulation in distribution networks. Traditional model-based approaches …
相关文章 所有 2 个版本