ISSN 1000-1026
CN 32-1180/TP
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  • CN 32-1180/TP

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Machine Learning for Energy and Electric Power Systems: State of the Art and Prospects
CHENG Lefeng, YU Tao, ZHANG Xiaoshun and YIN Linfei
2019, 43(1): 15-31.DOI: 10.7500/AEPS20180814007
[Abstract](639)[HTML](0)[PDF 1.67 M](528)
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Ensemble Learning for Generation-Consumption Coordinated Frequency Control in an Islanded Microgrid
WANG Dezhi, ZHANG Xiaoshun, LIU Qianjin, YU Tao and PAN Zhenning
2018, 42(10): 46-52.DOI: 10.7500/AEPS20171226004
[Abstract](686)[HTML](0)[PDF 1.33 M](374)
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Pareto Optimized Algorithm for Distributed Multi-objective Power Flow Based on Multi-area Parallel Cooperation
ZHENG Baomin, YU Tao, QU Kaiping, ZHANG Xiaoshun and YIN Linfei
2018, 42(20): 93-101.DOI: 10.7500/AEPS20171026009
[Abstract](442)[HTML](0)[PDF 1.41 M](213)
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Coordinated Optimal Dispatch of Electricity-Gas-Heat Multi-energy System Considering High Penetration of Electric Vehicles
PAN Zhenning, WANG Keying, QU Kaiping, YU Tao, WANG Dezhi and ZHANG Xiaoshun
2018, 42(4): 104-112.DOI: 10.7500/AEPS20170527007
[Abstract](889)[HTML](0)[PDF 1.42 M](613)
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Knowledge Transfer Based Q-learning Algorithm for Optimal Dispatch of Multi-energy System
QU Kaiping, ZHANG Xiaoshun, YU Tao and HAN Chuanjia
2017, 41(15): 18-25.DOI: 10.7500/AEPS20170103003
[Abstract](1176)[HTML](0)[PDF 1.36 M](878)
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Optimization Algorithm of Reinforcement Learning Based Knowledge Transfer Bacteria Foraging for Risk Dispatch
HAN Chuanjia, ZHANG Xiaoshun, YU Tao and QU Kaiping
2017, 41(8): 69-77.DOI: 10.7500/AEPS20160619004
[Abstract](1260)[HTML](0)[PDF 1.70 M](840)
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Hierarchical Real-time Optimized Dispatching for Large-scale Clusters of Electric Vehicles
PAN Zhenning, ZHANG Xiaoshun, YU Tao and WANG Dezhi
2017, 41(16): 96-104.DOI: 10.7500/AEPS20160919012
[Abstract](1506)[HTML](0)[PDF 1.71 M](1087)
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Robust Collaborative Consensus Algorithm for Economic Dispatch Under Non-ideal Communication Network
XU Hao, ZHANG Xiaoshun and YU Tao
2016, 40(14): 15-24.DOI: 10.7500/AEPS20160112003
[Abstract](1458)[HTML](0)[PDF 2.12 M](787)
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Optimal CPS Command Dispatch Based on Hierarchically Correlated Equilibrium Reinforcement Learning
ZHANG Xiaoshun, YU Tao and TANG Jie
2015, 39(8): 80-86.DOI: 10.7500/AEPS20140506012
[Abstract](1954)[HTML](0)[PDF 1.33 M](756)
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Multi-objective Optimal Carbon Emission Flow Calculation of Power Grid Based on Multi-step Q(λ)Learning Algorithm
ZHANG Xiaoshun, ZHENG Limin and YU Tao
2014, 38(17): 118-123.DOI: 10.7500/AEPS20140513010
[Abstract](1531)[HTML](0)[PDF 1.09 M](1342)
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ISSN 1000-1026

CN 32-1180/TP

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