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[1]Yaoyao He，Jianhua Zhu,Shuo Wang，A Novel Neural Network-based Multi-objective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast.[J].美国:IEEE Transactions on Systems, Man, and Cybernetics: Systems,2024,54(5):3069-3083.
[2]Chaojin Cao，Yaoyao He，An Online Probability Density Load Forecasting Against Concept Drift under Anomalous Events.[J].美国:IEEE Transactions on Industrial Informatics,2024,20(4):5241-5252.
[3]Yaoyao He，Yuting Liu,Wanying Zhang，Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition.[J].荷兰:Applied Intelligence,2024,54(3):2648–2672.
[4]Jianhua Zhu，Yaoyao He,Xiaodong Yang,Shanlin Yang，Ultra-short-term wind power probabilistic forecasting based on an evolutionary non-crossing multi-output quantile regression deep neural network.[J].英国:Energy Conversion and Management,2024,301
[5]Chaojin Cao，Yaoyao He,蔡思宇，Probabilistic runoff forecasting considering stepwise decomposition framework and external factor integration structure.[J].美国:Expert Systems with Applications,2024,236
[6]Yaoyao He，Xiaoyu Hong,Chao Wang,Hui Qin，Optimal capacity configuration of the hydro-wind-photovoltaic complementary system considering cascade reservoir connection].英国:Applied Energy,2023,352):121927.
[7]Jianhua Zhu，Yaoyao He,Zhiwei Gao，Wind power interval and point prediction model using neural network based multi-objective optimization].英国:Energy,2023,283):129079.
[8]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.
[9]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.
[10]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.
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