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Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation Journal article
Ge Chen, Hongcai Zhang, Hongxun Hui ,, Yonghua Song. Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation[J]. IEEE Transactions on Sustainable Energy, 2022, 14(1), 657-672.
Authors:  Ge Chen;  Hongcai Zhang;  Hongxun Hui ,;  Yonghua Song
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:8.6/8.6 | Submit date：2023/01/30
Deep Quantile Regression  Distributed Renewable Generation  Distribution Network  Joint Chance Constraints  Optimal Power Flow  
Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation Journal article
Cui,Wenkang, Wan,Can, Song,Yonghua. Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation[J]. IEEE Transactions on Power Systems, 2022, 38(4), 3163-3178.
Authors:  Cui,Wenkang;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:23 TC[Scopus]:25  IF:6.5/7.4 | Submit date：2023/08/03
Deep Learning  Ensemble  Non-crossing  Probabilistic Forecasting  Quantile Regression  Wind Power