中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [1]
采集方式
OAI收割 [1]
内容类型
期刊论文 [1]
发表日期
2017 [1]
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Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者:
Shi, Guang
;
Liu, Derong
;
Wei, Qinglai
  |  
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  |  
浏览/下载:21/0
  |  
提交时间:2017/02/23
Recurrent Neural Nets
Neurocontrollers
Learning (Artificial Intelligence)
Office Environment
Optimal Control
Solar Power
Energy Consumption
Time Series
Secondary Cells
Energy Management Systems
Function Approximation
Echo State Network-based Q-learning Method
Optimal Battery Control
Renewable Energy
Optimal Energy Management
Solar Energy
Energy Consumption
Energy Demand
Time Series
Real-time Electricity Rate
Periodic Functions
Q-function
Optimal Charging Strategy
Optimal Discharging Strategy
Optimal Idle Strategy
Numerical Analysis