东北大学主页平台孙秋野--中文主页-- Optimal Energy Operation Strategy for We-Energy of Energy Internet Based on Hybrid Reinforcement Learning with Human-in-the-loop

校园信息化与网络服务门户|

EN

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Optimal Energy Operation Strategy for We-Energy of Energy Internet Based on Hybrid Reinforcement Learning with Human-in-the-loop

发布时间：2021-09-16 点击次数：

第一作者：Yang L
通讯作者：Sun Q
发表刊物：IEEE Transactions on Systems，Man，and Cybernetics: Systems
DOI码：10.1109/TSMC.2020.3035406
是否译文：否

附件：

31.pdf

上一条：比特驱动的瓦特变革——信息能源系统研究综述

下一条：Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy