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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  
Data-Driven Chance-Constrained Regulation Capacity Offering for Distributed Energy Resources Journal article
IEEE Transactions on Smart Grid, 2019,Volume: 10,Issue: 3,Page: 2713-2725
Authors:  Hongcai Zhang;  Zechun Hu;  Eric Munsing;  Scott J. Moura;  Yonghua Song
Favorite |  | TC[WOS]:10 TC[Scopus]:14 | Submit date:2019/06/03
Data-driven Distributionally Robust Chance-constraint  Distributed Energy Resources  Regulation Service  Risk-averse  
Stochastic receding horizon control of active distribution networks with distributed renewables Journal article
IEEE Transactions on Power Systems, 2019,Volume: 34,Issue: 2,Page: 1325-1341
Authors:  Jiang,Yibao;  Wan,Can;  Wang,Jianhui;  Song,Yonghua;  Dong,Zhao Yang
Favorite |  | TC[WOS]:22 TC[Scopus]:27 | Submit date:2021/03/09
Active Distribution Network  Chance Constraint  Distributed Renewable Generation  Stochastic Model Predictive Control  Uncertainty