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Mixed Deep Reinforcement Learning Considering Discrete-continuous Hybrid Action Space for Smart Home Energy Management Journal article
Journal of Modern Power Systems and Clean Energy, 2022,Volume: 10,Issue: 3,Page: 743-754
Authors:  Huang, Chao;  Zhang, Hongcai;  Wang, Long;  Luo, Xiong;  Song, Yonghua
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2022/06/19
Demand Response  
Editorial: Engineering Applications of Neurocomputing Other
Authors:  Wang, Long;  Song, Zhe;  Zhang, Zijun;  Huang, Chao
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/02/21
Engineering Systems  Healthcare  Manufacturing  Neural Networks  Neurocomputing  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021,Volume: 12,Issue: 4
Authors:  Huang,Chao;  Zhang,Hongcai;  Song,Yonghua;  Wang,Long;  Ahmad,Tanveer;  Luo,Xiong
Favorite |  | TC[WOS]:10 TC[Scopus]:16 | Submit date:2021/03/09
Demand Response  Forecasting  Industrial Micro-grid  Manufacturing  Mixed Integer Nonlinear Programming.  Multi-energy  Optimization  Optimization Methods  Probabilistic Logic  Production  Uncertainty  
Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, Washington, 01-03 November 2021
Authors:  Huang, Chao;  Wang, Long;  Luo, Xiong;  Zhang, Hongcai;  Song, Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Deep Reinforcement Learning  Evolutionary Computing  Integrated Energy System  Multi-objective Optimization  
Robust Forecasting of River-Flow Based on Convolutional Neural Network Journal article
IEEE Transactions on Sustainable Computing, 2020,Volume: 5,Issue: 4,Page: 594-600
Authors:  Huang, Chao;  Zhang, Jing;  Cao, Longpeng;  Wang, Long;  Luo, Xiong;  Wang, Jenq Haur;  Bensoussan, Alain
Favorite |  | TC[WOS]:8 TC[Scopus]:8 | Submit date:2021/12/06
Convolutional Neural Network  River-flow Forecasting  Robust Loss Function  Transfer Learning  
Point and interval forecasting of solar irradiance with an active Gaussian process Journal article
IET Renewable Power Generation, 2020,Volume: 14,Issue: 6,Page: 1020-1030
Authors:  Huang, Chao;  Zhao, Zhenyu;  Wang, Long;  Zhang, Zijun;  Luo, Xiong
Favorite |  | TC[WOS]:13 TC[Scopus]:15 | Submit date:2021/12/06