Yaoyao He

发表

Flood Disaster Classification Based on Fuzzy Clustering Iterative Model and Modified Differential Evolution Algorithm

Li Mo, Hui Qin, Jianzhong Zhou, 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

A TFN-ANP based approach to evaluate Virtual Research Center comprehensive performance

Li Mo, Jianzhong Zhou, Yaoyao He, 2010, Expert Syst. Appl..

Simulated Annealing Theory Based Particle Swarm Optimization for Support Vector Machine Model in Short-Term Load Forecasting

Ning Lu, Ying Liu, Jianzhong Zhou, 2009, 2009 International Conference on Information Engineering and Computer Science.

Particle Swarm Optimization for Parameter Optimization of Support Vector Machine Model

Ning Lu, Ying Liu, Jianzhong Zhou, 2009, 2009 Second International Conference on Intelligent Computation Technology and Automation.

Short-term cascaded hydroelectric system scheduling based on chaotic particle swarm optimization using improved logistic map

Shanlin Yang, Qifa Xu, Yaoyao He, 2013, Commun. Nonlinear Sci. Numer. Simul..

A fuzzy clustering iterative model using chaotic differential evolution algorithm for evaluating flood disaster

Ning Lu, Jianzhong Zhou, Pangao Kou, 2011, Expert Syst. Appl..

Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map

Shanlin Yang, Qifa Xu, Yaoyao He, 2016, Neural Computing and Applications.

An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR

Qifa Xu, Cuixia Jiang, Yaoyao He, 2015, Statistical Methods & Applications.

Weighted quantile regression via support vector machine

Qifa Xu, Cuixia Jiang, Xue Huang, 2015, Expert Syst. Appl..

Probability density forecasting of wind power based on multi-core parallel quantile regression neural network

Wanying Zhang, Yaoyao He, Yaoyao He, 2020, Knowl. Based Syst..

Short-Term Power Load Forecasting Based on Self-Adapting PSO-BP Neural Network Model

Qifa Xu, Yaoyao He, Yaoyao He, 2012, 2012 Fourth International Conference on Computational and Information Sciences.

Flood hazard assessment based on fuzzy clustering iterative model and chaotic particle swarm optimization

Yaoyao He, Jinhong Wan, 2020 .

Uncertainty Forecasting for Streamflow based on Support Vector Regression Method with Fuzzy Information Granulation

Chao Wang, Xu Wang, Yaoyao He, 2019 .

Vibration fault diagnosis of hydro-turbine generating unit based on rough 1-v-1 multiclass support vector machine

Xiaoyuan Zhang, Bo Liu, Jianzhong Zhou, 2010, 2010 Sixth International Conference on Natural Computation.

Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory

Shuo Wang, Xiaofen Lu, Yaoyao He, 2017 .

Identification of hydraulic turbine governor system parameters based on Bacterial Foraging Optimization Algorithm

Hui He, Jianzhong Zhou, Pangao Kou, 2010, 2010 Sixth International Conference on Natural Computation.

T-S Fuzzy Model Identification Based on Chaos Optimization

Hui He, Xueli An, Jianzhong Zhou, 2008, ISNN.

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression

Shuo Wang, Xin Yao, Yaoyao He, 2020, Neurocomputing.

Differential evolution algorithm combined with chaotic pattern search

Ning Lu, Youlin Lu, Hui Qin, 2010, Kybernetika.

Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression

Qifa Xu, Yaoyao He, Yudong Yan, 2019 .

A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map

Junjie Yang, Jianzhong Zhou, Chaoshun Li, 2008, 2008 Fourth International Conference on Natural Computation.

Probability density forecasting of wind power using quantile regression neural network and kernel density estimation

Haiyan Li, Yaoyao He, Yaoyao He, 2018 .

Numerical Experimental Research of Equivalent Seepage Characteristic for Fractured Porous Media

Yaoyao He, Jianjun Liu, 2011 .

A new method for automatically identifying the shaft orbit moving direction of hydroelectric generating set

Jianzhong Zhou, Shan Peng, Yaoyao He, 2010 .

Short-term power load probability density forecasting based on Yeo-Johnson transformation quantile regression and Gaussian kernel function

Yaoyao He, Yaya Zheng, Yaoyao He, 2018, Energy.

Flood disaster level evaluation using a particle swarm optimization algorithm considering decision maker's preference

Hemant Kumar Singh, Xiaohui Lei, Yaoyao He, 2018 .

Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network

Chao Wang, Yang Qin, Shuo Wang, 2019, Applied Energy.

Short-term wind power prediction based on EEMD-LASSO-QRNN model

Yaoyao He, Yun Wang, Yun Wang, 2021, Appl. Soft Comput..

A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation

Yaoyao He, Huiling Fan, Xiaohui Lei, 2021, Applied Mathematical Modelling.

Day-ahead load probability density forecasting using monotone composite quantile regression neural network and kernel density estimation

Shanlin Yang, Yaoyao He, Wanying Zhang, 2021, Electric Power Systems Research.

A novel chaotic differential evolution algorithm for short-term cascaded hydroelectric system scheduling

Shanlin Yang, Qifa Xu, Li Yang, 2014 .

Comparison of different chaotic maps in particle swarm optimization algorithm for long-term cascaded hydroelectric system scheduling

Hui Qin, Yaoyao He, Hui Qin, 2009 .

Forecasting energy consumption in Anhui province of China through two Box-Cox transformation quantile regression probability density methods

Qifa Xu, Yaoyao He, Q. Xu, 2019, Measurement.