Adaptive Consensus Algorithm for Distributed Heat-Electricity Energy Management of an Islanded Microgrid

by Xiaofeng Dong, Xiaoshun Zhang, Tong Jiang
Published 2018-08-01

Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems

by Linfei Yin, Lulin Zhao, Tao Yu, Xiaoshun Zhang
Published 2018-11-01

Multi-Agent Bargaining Learning for Distributed Energy Hub Economic Dispatch

by Xiaoshun Zhang, Tao Yu, Zhiyi Zhang, Jianlin Tang
Published 2018-01-01

Multi-Searcher Optimization for the Optimal Energy Dispatch of Combined Heat and Power-Thermal-Wind-Photovoltaic Systems

by Jianlin Tang, Tao Yu, Xiaoshun Zhang, Zhuohuan Li, Junbin Chen
Published 2019-02-01

Reactive Power Optimization of Large-Scale Power Systems: A Transfer Bees Optimizer Application

by Huazhen Cao, Tao Yu, Xiaoshun Zhang, Bo Yang, Yaxiong Wu
Published 2019-05-01

Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow

by Xiaoshun Zhang, Tao Yu, Lexin Guo, Bo Yang, Yixuan Chen
Published 2018-01-01

Global Maximum Power Point Tracking of PV Systems under Partial Shading Condition: A Transfer Reinforcement Learning Approach

by Min Ding, Dong Lv, Chen Yang, Shi Li, Qi Fang, Bo Yang, Xiaoshun Zhang
Published 2019-07-01