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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.
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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.
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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.
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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
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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
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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.
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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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基于模糊c均值聚类的TVF-EMD-MCQRNN负荷概率预测方法Invent,202011021199.8,
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一种基于B样条分位数回归的光电概率密度预测方法Invent,201910852925.1,
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基于混沌萤火虫算法与贝叶斯网络的风电功率概率性预测方法Invent,201910541439.8,
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基于混沌人群算法和贝叶斯网络的电力负荷概率性预测方法Invent,201910541440.0,
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基于遗传算法与支持向量分位数回归的风电功率概率密度预测方法Invent,CN201610682520.4,
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基于模糊支持向量分位数回归的电力负荷概率密度预测方法Invent,CN201610682457.4,
