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Theories, Methodologies and Applications of Probabilistic Forecasting for Power Systems with Renewable Energy Sources 新能源电力系统概率预测理论与方法及其应用 Journal article
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021,Volume: 45,Issue: 1,Page: 2-16
Authors:  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Artificial intelligence  Power system  Prediction interval  Probabilistic forecasting  Renewable energy  Uncertainty  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
Exploiting Flexibility of District Heating Networks in Combined Heat and Power Dispatch Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020,Volume: 11,Issue: 4,Page: 2174-2188
Authors:  Yibao Jian;  Can Wan;  Audun Botterud;  Yonghua Song;  Shiwei Xia
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Combined Heat And Power Dispatch  Flexibility  District Heating Network  Generalized Thermal Storage Model  Renewable Energy  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
Favorite |  | TC[WOS]:4 TC[Scopus]:7 | Submit date:2021/05/10
Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Optimal Nonparametric Prediction Intervals of Electricity Load Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 2467-2470
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua;  Cao,Zhaojing
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Binary Variable Reduction  Load Forecasting  Machine Learning  Mixed Integer Programming  Prediction Interval  
Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 3,Page: 1881-1897
Authors:  Cao,Zhaojing;  Wan,Can;  Zhang,Zijun;  Li,Furong;  Song,Yonghua
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Deep Learning  Ensemble Learning  Forecasting  k Nearest Neighbor  Low-voltage Load  
An Adaptive Bilevel Programming Model for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE Transactions on Power Systems, 2020,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power  
A Hybrid Stochastic-Interval Operation Strategy for Multi-Energy Microgrids Journal article
IEEE Transactions on Smart Grid, 2020,Volume: 11,Issue: 1,Page: 440-456
Authors:  Jiang,Yibao;  Wan,Can;  Chen,Chen;  Shahidehpour,Mohammad;  Song,Yonghua
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Hybrid Stochastic-interval Approach  Microgrid  Multi-energy System  Renewable Energy  Uncertainty  
Combined Heat and Power Dispatch Using Simplified District Heat Flow Model Conference paper
IEEE Power and Energy Society General Meeting, Atlanta, GA, USA, 4-8 Aug. 2019
Authors:  Jiang,Yibao;  Wan,Can;  Botterud,Audun;  Song,Yonghua
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Combined Heat And Power Dispatch  District Heating Network  Renewable  Sequential Linear Programming  
Research Status and Prospect of Energy Trading Mode and User Demand Response in Urban Energy Internet 城镇能源互联网能源交易模式和用户响应研究现状与展望 Journal article
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019,Volume: 43,Issue: 14,Page: 29-40
Authors:  Wan,Can;  Jia,Yanbo;  Li,Biao;  Song,Yonghua
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Energy trading mode  Market structure  Urban Energy Internet  User demand response