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CASIA OpenIR
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Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 4, 页码: 3599-3608
作者:  Wei, Qinglai;  Liao, Zehua;  Song, Ruizhuo;  Zhang, Pinjia;  Wang, Zhuo;  Xiao, Jun
Adobe PDF(3395Kb)  |  收藏  |  浏览/下载：420/48  |  提交时间：2021/03/02
Optimal control  Air conditioning  Load modeling  Neural networks  Dynamic programming  Predictive models  Adaptive dynamic programming (ADP)  cooling load prediction  ice-storage air conditioning (IAC)  neural network  optimal control  
An echo state network based approach to room classification of office buildings 期刊论文
NEUROCOMPUTING, 2019, 卷号: 333, 页码: 319-328
作者:  Shi, Guang;  Zhao, Bo;  Li, Chao;  Wei, Qinglai;  Liu, Derong
收藏  |  浏览/下载：337/0  |  提交时间：2019/07/12
Power consumption  Room classification  Echo state networks  Neural networks  
Optimization of electricity consumption in office buildings based on adaptive dynamic programming 期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
作者:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(1611Kb)  |  收藏  |  浏览/下载：474/194  |  提交时间：2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：448/135  |  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  
Energy consumption prediction of office buildings based on echo state networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 期号: n/a, 页码: 478-488
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(1405Kb)  |  收藏  |  浏览/下载：469/201  |  提交时间：2017/02/14
Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies