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Jia-Ying Li

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#reinforcement learning Open access Sep 2026

Microgrid energy management optimization using PPO with curriculum learning trained in virtual simulation environment

Microgrid energy management systems (EMS) require real-time, economically optimal, and safe dispatch strategies under high renewable uncertainty. While Deep Reinforcement Learning (DRL) offers promising online decision-making capabilities, standard DRL algorithms struggle with the “cold start” problem, slow convergence...

Jia-Ying Li, Can Pei, Yan-Tao Li · 0 citations
#federated learning Conference Sep 2026

A federated learning-enabled distributed optimal control mechanism for energy supply chains

This paper addresses the privacy barriers of underlying time-series data not leaving the domain and the limitations of macro-network interaction latency faced by the energy supply chain in the distributed interconnection of multi-source heterogeneous devices. A distributed collaborative optimization control strategy me...

Jia-Ying Li · 0 citations
#federated learning Conference Aug 2026

Federated learning-based privacy-preserving multisource data fusion for smart grids

This study addresses the challenges of privacy leakage and data silos in multi-source heterogeneous data interaction within smart grids by designing a federated multi-source data fusion architecture that combines adaptive local differential privacy with feature space alignment. This architecture utilizes Hessian matrix...

Jia-Ying Li, Can Pei · 0 citations

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