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[1]Jianhua Zhu，何耀耀(通讯作者)，A large-scale multi-objective evolutionary quantile estimation model for wind power probabilistic forecasting:IEEE Transactions on Evolutionary Computation,2024):10.1109/TEVC.2024.3486741.
[2]Yaoyao He，Jingjing Zhou,Chaojin Cao,Shuo Wang,Hong Fu，Detection of Electricity Theft based on Minimal Gated Memory network combined Adaptive Synthesis sampling and Decision Tree.[J:Sustainable Energy, Grids and Networks,2024,39):101415.
[3]Yaoyao He，Chuang Zhu,Chaojin Cao，A Wind Power Ramp Prediction Method Based on Value-at-Risk.[J:Energy Conversion and Management,2024,315):118767.
[4]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.
[5]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.
[6]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.
[7]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
[8]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
[9]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.
[10]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.
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