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An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load Journal article
IEEE Transactions on Smart Grid, 2021,Volume: 12,Issue: 6,Page: 5396-5408
Authors:  Wan, Can;  Cao, Zhaojing;  Lee, Wei Jen;  Song, Yonghua;  Ju, Ping
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/12/08
Data Mining  Information Entropy  Load Forecasting  Probabilistic Forecasting  Uncertainty  Weighted Resample  
Probabilistic Forecasting for Power Systems With Renewable Energy Sources: Basic Concepts and Mathematical Principles 新能源电力系统概率预测: 基本概念与数学原理 Journal article
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021,Volume: 41,Issue: 19,Page: 6493-6508
Authors:  Wan, Can;  Cui, Wenkang;  Song, Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Machine learning  Power system  Probabilistic forecasting  Renewable energy  Uncertainty  
Probabilistic Forecasting Based Sizing and Control of Hybrid Energy Storage for Wind Power Smoothing Journal article
IEEE Transactions on Sustainable Energy, 2021,Volume: 12,Issue: 4,Page: 1841-1852
Authors:  Wan, Can;  Qian, Weiting;  Zhao, Changfei;  Song, Yonghua;  Yang, Guangya
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/12/08
Fluctuation smoothing  hybrid storage systems  probabilistic forecasting  stochastic optimization  wind power  
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]:1 TC[Scopus]:4 | 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  
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]:6 | 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
Favorite |  | TC[WOS]:3 TC[Scopus]:4 | Submit date:2021/03/09
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  
An estimating combination method for interval forecasting of electrical load time series Journal article
Expert Systems with Applications, 2020,Volume: 158
Authors:  Ma, Xuejiao;  Dong, Yunxuan
Favorite |  | TC[WOS]:4 TC[Scopus]:8 | Submit date:2021/12/06
Distribution Estimation  Electrical Load Time Series  Feature Selection  Interval Forecasting  Machine Learning Method  
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
Favorite |  | TC[WOS]:27 TC[Scopus]:33 | Submit date:2021/03/09
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, 2019,Volume: 35,Issue: 1,Page: 424-439
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:17 TC[Scopus]:25 | Submit date:2021/03/09
Bilevel Programming  Forecasting  Prediction Interval  Quantile Regression  Spatial Branch-and-bound  Wind Power  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite |  | TC[WOS]:57 TC[Scopus]:70 | Submit date:2019/01/17
Terms-multi-model Combination  Probabilistic Forecasting  Wind Power  Uncertainty