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[11]Yaoyao He，Chaojin Cao*,Jingling Xiao，Day-Ahead Peak Load Probability Density Forecasting Based on QRLSTM-DF Considering Exogenous Factors].英国:IEEE Transactions on Industrial Informatics,2023,19(9):9447-9456.
[12]Yaoyao He，Chuang Zhu,Xueli An，A trend-based method for the prediction of offshore wind power ramp].英国:Renewable Energy,2023,209):248-261.
[13]Wanying Zhang，Yaoyao He,Shanlin Yang，A multi-step probability density prediction model based on gaussian approximation of quantiles for offshore wind power].英国:Renewable Energy,2023,202):992-1011.
[14]Yaoyao He，Yun Wang,Shuo Wang,Xin Yao，A Cooperative Ensemble Method for Multistep Wind Speed Probabilistic Forecasting].英国:Chaos, Solitons & Fractals,2022,162):112416.
[15]Wanying Zhang，Yaoyao He,Shanlin Yang，基于TVFEMD-SE和YJQRG的短期风电功率多步概率密度预测.[J].中国:系统工程理论与实践,2022,42(8):2225-2242.
[16]Yaoyao He，Chaojin Cao,Shuo Wang,Hong Fu，Nonparametric probabilistic load forecasting based on quantile combination in Electrical power systems.[J].英国:Applied Energy,2022,322
[17]Wanying Zhang，Yaoyao He,Shanlin Yang，Day-ahead load probability density forecasting using monotone composite quantile regression neural network and kernel density estimation.[J:Electric Power Systems Research,2021,201):107551.
[18]Yaoyao He，Yun Wang，Short-term wind power prediction based on EEMD-LASSO-QRNN model.[J:Applied Soft Computing,,2021,105：):107288.
[19]Yaoyao He，Haiyan Li,Shuo Wang,Xin Yao，Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression.[J:Neurocomputing,2021,430:):121-137.
[20]Yaoyao He，Huiling Fan,Xiaohui Lei,Jinhong Wan，A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation.[J:Applied Mathematical Modelling,2021,93：):852-867.

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