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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
Authors:  Shi, Guang;  Zhao, Bo;  Li, Chao;  Wei, Qinglai;  Liu, Derong
Favorite  |  View/Download:14/0  |  Submit date:2019/07/12
Power consumption  Room classification  Echo state networks  Neural networks  
Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 12, 页码: 9527-9537
Authors:  Wei, Qinglai;  Lewis, Frank L.;  Shi, Guang;  Song, Ruizhuo
Favorite  |  View/Download:59/0  |  Submit date:2018/03/03
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Home Energy Systems  Optimal Control  Smart Grid  
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
Authors:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
View  |  Adobe PDF(1611Kb)  |  Favorite  |  View/Download:193/74  |  Submit date:2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 7, 页码: 5468-5478
Authors:  Wei, Qinglai;  Shi, Guang;  Song, Ruizhuo;  Liu, Yu
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Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Energy Storage  Energy Storage System  Optimal Control  Solar Renewable Energy  
基于神经网络的建筑能耗分析与优化 学位论文
, 北京: 中国科学院大学, 2017
Authors:  石光
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建筑能耗  神经网络  回声状态网  自适应动态规划  预测  分类  优化  
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
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
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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
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
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Energy Consumption  Time-series Prediction  Office Buildings  Echo State Networks  Reservoir Topologies  
An adaptive dynamic programming based method for optimization of electricity consumption in office buildings 会议论文
, Vancouver, Canada, Jul. 23–29, 2016
Authors:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
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Prediction of energy consumption in office buildings based on echo state network 会议论文
, Guilin, China, Jun. 12–15, 2016
Authors:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
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Multibattery Optimal Coordination Control for Home Energy Management Systems via Distributed Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 7, 页码: 4203-4214
Authors:  Wei, Qinglai;  Liu, Derong;  Shi, Guang;  Liu, Yu;  Derong Liu
View  |  Adobe PDF(2231Kb)  |  Favorite  |  View/Download:92/43  |  Submit date:2015/09/17
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Distributed Optimal Control  Smart Grid  Smart Home