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ORCIDYaoyao He
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2020 – today
- 2024
[j16]Yaoyao He
, Yuting Liu, Wanying Zhang:
Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition. Appl. Intell. 54(3): 2648-2672 (2024)- [j15]Chaojin Cao, Yaoyao He, Siyu Cai:
Probabilistic runoff forecasting considering stepwise decomposition framework and external factor integration structure. Expert Syst. Appl. 236: 121350 (2024) - [j14]Chaojin Cao, Yaoyao He:
An Online Probability Density Load Forecasting Against Concept Drift Under Anomalous Events. IEEE Trans. Ind. Informatics 20(4): 5241-5252 (2024) - [j13]Yaoyao He, Jianhua Zhu, Shuo Wang:
A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3069-3083 (2024) - 2023
- [j12]Yaoyao He, Chaojin Cao, Jingling Xiao:
Day-Ahead Peak Load Probability Density Forecasting Based on QRLSTM-DF Considering Exogenous Factors. IEEE Trans. Ind. Informatics 19(9): 9447-9456 (2023) - 2021
- [j11]Yaoyao He, Yun Wang:
Short-term wind power prediction based on EEMD-LASSO-QRNN model. Appl. Soft Comput. 105: 107288 (2021) - [j10]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. Neurocomputing 430: 121-137 (2021) - [j9]Yaoyao He, Jinhong Wan:
Flood hazard assessment based on fuzzy clustering iterative model and chaotic particle swarm optimization. J. Ambient Intell. Humaniz. Comput. 12(1): 933-942 (2021) - 2020
- [j8]Yaoyao He, Wanying Zhang:
Probability density forecasting of wind power based on multi-core parallel quantile regression neural network. Knowl. Based Syst. 209: 106431 (2020)
2010 – 2019
- 2018
- [j7]Yaoyao He, Qifa Xu, Jinhong Wan, Shanlin Yang:
Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map. Neural Comput. Appl. 29(7): 603-612 (2018) - 2016
- [j6]Qifa Xu, Cuixia Jiang, Yaoyao He:
An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR. Stat. Methods Appl. 25(2): 285-320 (2016) - 2015
- [j5]Qifa Xu, Jinxiu Zhang, Cuixia Jiang, Xue Huang, Yaoyao He:
Weighted quantile regression via support vector machine. Expert Syst. Appl. 42(13): 5441-5451 (2015) - 2013
- [j4]Yaoyao He, Shanlin Yang, Qifa Xu:
Short-term cascaded hydroelectric system scheduling based on chaotic particle swarm optimization using improved logistic map. Commun. Nonlinear Sci. Numer. Simul. 18(7): 1746-1756 (2013) - 2011
- [j3]Yaoyao He, Jianzhong Zhou, Pangao Kou, Ning Lu, Qiang Zou:
A fuzzy clustering iterative model using chaotic differential evolution algorithm for evaluating flood disaster. Expert Syst. Appl. 38(8): 10060-10065 (2011) - 2010
- [j2]Zhimeng Luo, Jianzhong Zhou, Li-ping Zheng, Li Mo, Yaoyao He:
A TFN-ANP based approach to evaluate Virtual Research Center comprehensive performance. Expert Syst. Appl. 37(12): 8379-8386 (2010) - [j1]Yaoyao He, Jianzhong Zhou, Ning Lu, Hui Qin, Youlin Lu:
Differential evolution algorithm combined with chaotic pattern search. Kybernetika 46(4): 684-696 (2010) - [c5]Xiaoyuan Zhang, Jianzhong Zhou, Yaoyao He, Yuchun Wang, Bo Liu:
Vibration fault diagnosis of hydro-turbine generating unit based on rough 1-v-1 multiclass support vector machine. ICNC 2010: 755-759 - [c4]Pangao Kou, Jianzhong Zhou, Chaoshun Li, Yaoyao He, Hui He:
Identification of hydraulic turbine governor system parameters based on Bacterial Foraging Optimization Algorithm. ICNC 2010: 3339-3343
2000 – 2009
- 2009
- [c3]Yaoyao He, Jianzhong Zhou, Hui Qin, Li Mo, Pangao Kou:
Flood Disaster Classification Based on Fuzzy Clustering Iterative Model and Modified Differential Evolution Algorithm. FSKD (3) 2009: 85-89 - 2008
- [c2]Yaoyao He, Jianzhong Zhou, Chaoshun Li, Junjie Yang, Qingqing Li:
A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map. ICNC (7) 2008: 569-573 - [c1]Chaoshun Li, Jianzhong Zhou, Xueli An, Yaoyao He, Hui He:
T-S Fuzzy Model Identification Based on Chaos Optimization. ISNN (1) 2008: 786-795
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