activity
20222025
most citedWind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

252 citations · 595 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2025

QSTAformer: A Quantum-Enhanced Transformer for Robust Short-Term Voltage Stability Assessment against Adversarial Attacks

Yang Li, Chong Ma, Yuanzheng Li +3

Short-term voltage stability assessment (STVSA) is critical for secure power system operation. While classical machine learning-based methods have demonstrated strong performance,…

eess.SY2023★ 17 cited

A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration

Yuanzheng Li, Xinxin Long, Yang Li +3

Industrial demand response (IDR) plays an important role in promoting the utilization of renewable energy (RE) in power systems. However, it will lead to power adjustments on the s…

cs.LG2023★ 57 cited

PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning

Yang Li, Shitu Zhang, Yuanzheng Li +2

Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learnin…

eess.SY2022★ 137 cited

Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach

Yang Li, Fanjin Bu, Yuanzheng Li +1

Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands. To address these challenges, a com…

cs.LG2022★ 252 cited

Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

Yang Li, Ruinong Wang, Yuanzheng Li +2

In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatilit…

eess.SY2022★ 132 cited

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

Yuanzheng Li, Shangyang He, Yang Li +3

The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since…