近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
录用的论文
[1] 何耀耀 秦杨 杨善林. 基于LASSO分位数回归的中期电力负荷概率密度预测方法, 系统工程理论与实践, (已录用)
2019年
[1] Yaoyao He, Yang Qin, Shuo Wang, Xu Wang, Chao Wang. Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network. Applied Energy, 2019，233-234: 565-575 (SCI , EI 检索) TOP 校定英文核心
[2] Yaoyao He, Yang Qin, Xiaohui Lei , Nanping Feng. A study on short-term power load probability density forecasting considering wind power effects. International Journal of Electrical Power and Energy Systems 2019,113:502-514 (SCI , EI) 校定英文核心
[3] Yaoyao He, Yudong Yan, Qifa Xu, Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression. International Journal of Electrical Power and Energy Systems 2019,515-527 (SCI , EI) 校定英文核心
[4] Yaoyao He, Yaya Zheng, Qifa Xu. Forecasting energy consumption in Anhui province of China through two Box-Cox transformation quantile regression probability density methods. Measurement, 2019, 136:579-593 (SCI , EI)
[5] Yaoyao He, Yudong Yan, Xu Wang, Chao Wang. Uncertainty Forecasting for Streamflow based on Support Vector Regression Method with Fuzzy Information Granulation. Energy Procedia 2019,158：6189-6194 （EI）
2018
[1] Yaoyao He, Haiyan Li. Probability density forecasting of wind power using quantile regression neural network and kernel density estimation, Energy Conversion and Management, 2018, 164: 374-384 (SCI , EI) TOP 校定英文核心
[2] Yaoyao He, Yaya Zheng. Short-term power load probability density forecasting based on Yeo-Johnson transformation quantile regression and Gaussian kernel function, Energy, 2018, 154: 143-156 (SCI , EI) TOP
[3] Yaoyao He, Qifa Xu, Jinhong Wan, Shanlin Yang, Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map. Neural Computing and Applications, 2018, 29(7):603–612 (SCI , EI)
[4] Yaoyao He, Jinhong Wan, Xiaohui Lei, Hemant Singh. Flood Disaster Level Evaluation using a Particle Swarm Optimization Algorithm considering Decision-maker’s Preference. Water Science and Technology: Water Supply 2018 18(1):288-298 (SCI , EI)
[5] 何耀耀 郑丫丫 杨善林. 基于Box-Cox变换分位数回归与负荷关联因素辨识的中长期概率密度预测 系统工程理论与实践 2018,38（1）：197-207（EI）
[6] 何耀耀 刘瑞 李海燕 王刚 郑丫丫 秦杨 严煜东 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 （有效专利）CN201610682457.4
[7] Shubo Cao, Qifa Xu(, Cuixia Jiang, Yaoyao He. Conditional density forecast of China's energy demand via QRNN model [J]. Applied Economics Letters, 2018,25(12):867-875 (SSCI).
[8] 许启发, 李辉艳, 蒋翠侠, 何耀耀; 基于QRNN+GARCH方法的供应链金融多期价格风险测度及防范, 数理统计与管理 2018, 37（4）：728-740
2017 年
[1] Yaoyao He, Rui Liu , Haiyan Li, Shuo Wang, Xiaofen Lu, Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory. Applied Energy, 2017，185:254-266 (SCI , EI 检索) TOP
[2] 何耀耀 刘瑞 撖奥洋 基于实时电价与支持向量分位数回归的短期电力负荷概率密度预测方法 中国电机工程学报 2017，37(3)：768-775 （EI）
[3] 何耀耀 李海燕；刘瑞；王刚；郑丫丫；严煜东；秦杨； 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，201610682520.4。有效专利
2016 年
[1]Yaoyao He, Qifa Xu, Jinhong Wan, Shanlin Yang, Short-term power load probability density forecasting based on quantile regression neural network and triangle kernel function, Energy, 2016,114:498-512 (SCI , EI 检索) TOP
[2] 何耀耀 宋晓晨 万金红 杨善林. 考虑决策者偏好的洪水灾害模糊聚类迭代评估模型 系统工程理论与实践 , 2016, 36(10): 2680–2688（EI检索）
[3] 何耀耀，闻才喜，许启发，基于Epanechnikov核与最优窗宽组合的中期电力负荷概率密度预测方法 电力自动化设备， 2016，36(11):124-130（EI收录）
[4] Qifa Xu Cuixia Jiang Yaoyao He An exponentially weighted quantile regression via SVM with application to estimating multiperiod VaR. Stat Methods App 2016,25(2) : 285–320 (SCI检索)
[5] 何耀耀 宋晓晨 廖力 基于决策者偏好DE算法的模糊聚类迭代洪灾评估方法 长江科学院院报 2016,33（4）：33-38
2015
[1]何耀耀，闻才喜，许启发，撖奥洋，考虑温度因素的中期电力负荷概率密度预测方法，电网技术 ，2015，39（1）:176-81 （ EI收录）
[2] Q Xu, J Zhang, C Jiang, X Huang, Y He. Weighted quantile regression via support vector machine, Expert Systems with Applications, 2015,42(13): 5441-5451 (SCI , EI 收录)
[3] 廖力 邹强 何耀耀 曾小凡 周建中 张勇传. 基于模糊投影寻踪聚类的洪灾评估模型 系统工程理论与实践 2015,35(9):2422-2432 (EI 收录)
2014
[1] Yaoyao He, Qifa Xu, Shanlin Yang, AoYang Han, Li Yang. A novel chaotic differential evolution algorithm for short-term cascaded hydroelectric system scheduling. International Journal of Electrical Power and Energy Systems. 2014，61，455-62 (SCI EI 收录)
[2] Yaoyao He, Qifa Xu. Shanlin Yang, Li Liao. Reservoir Flood Control Operation based on Chaotic Particle Swarm Optimization Algorithm. Applied Mathematical Modelling ，2014， 38：4480-4492( SCI 、EI 刊源)
2013年
[1]Yaoyao He, Shanlin Yang, Qifa Xu. Short-term Cascaded Hydroelectric System Scheduling based on Chaotic Particle Swarm Optimization using Improved Logistic Map. Communications in Nonlinear Science and Numerical Simulation 18(7), 1746-1756, 2013 (SCI 、EI收录) TOP
[2]何耀耀 , 许启发, 杨善林 余本功. 基于RBF神经网络分位数回归的电力负荷概率密度预测方法 中国电机工程学报2013,33（1）：93-98 (EI检索)
[3] Xiang Xiu-Qiao, Shi Bao-Chang, He Yao-Yao Drive Control of Spiral Wave and Turbulence by a Target Wave in CGLE Communications in Theoretical Physics 2013,60(4):439-444（SCI检索）
2012年
[1]Yaoyao He, Qifa Xu . Short-term Power Load Forecasting Based on Self-adapting PSO-BP Neural Network Model. ICCIS 2012, vol 4: 1096-1099 (EI收录20124615658195)
[2]李珠瑞, 陈海汉, 何耀耀. 基于最小机会损失准则的组合评价方法研究. 计算机应用研究,2012, 29(2):518-521
[3]刘辉舟 何耀耀 夏维. 基于模糊聚类方法的神经元形态分类识别.微计算机信息 2012,5:103-105
2012年以前
[1]Yaoyao He, Jianzhong Zhou, Xiuqiao Xiang Heng Chen, Hui Qin. Comparison of different chaotic maps in particle swarm optimization algorithm for long term cascaded hydroelectric system scheduling. Chaos solitons fractals. 2009 42(5):3169-3176（SCI检索 000269425200071 , EI检索 20093112236046）
[2]Yaoyao He, JianZhong Zhou, Ning Lu, Hui Qin, Youlin Lu. Differential Evolution Algorithm Combined with Chaotic Pattern Search Kybernetika (控制论-捷克) 2010 ,46(4):684-96（SCI检索：000284562000007）
[3]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 Systems with Applications 2011 38(8):10060-10065 (SCI 检索000290237500115 , EI检索 20111513899926)
[4]Chengjian Zhang, Yaoyao He. The extended one-leg methods for nonlinear neutral delay-integro-differential equations. Applied numerical mathematics（荷兰） 2009 .59 1409–1418 (SCI检索000265335900017 ,EI 检索20091311982810)
[5]Yaoyao He, Jianzhong Zhou, Chaoshun Li, Junjie Yang, Qingqing Li. A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map, . The 4th International Conference on Natural Computation, 2008. vol 7:569-573 （EI检索20085211804257）
[6]Yaoyao He , Jianzhong Zhou, Hui Qin ,Li Mo , Pangao Kou. Flood Disaster Classification based on Fuzzy Clustering Iterative Model and Modified Differential Evolution Algorithm. International Conference on Fuzzy Systems and Knowledge Discovery . vol 3: 85-89 2009（EI检索: 20100712710263）
[7]何耀耀, 周建中, 杨俊杰, 张勇传. 混沌PSO梯级优化调度算法及实现 华中科技大学学报（自然科学版）2009, Vol.37, No.3,.102-105 （EI检索20092712163529）
[8]何耀耀, 周建中, 罗志猛, 卢有麟. 基于混沌DE算法和PP多项式函数的洪灾评估 人民长江 2010,41(3):92-95
[9]张诚坚, 何耀耀 刚性多滞量积分微分方程的BDF方法 数值计算与计算机应用2007 28(2) 124-132
[10]何耀耀, 张诚坚 求解刚性延迟积分微分方程的三阶EBDF方法 应用数学 2006, 19(S1):99-101
[11]Luo Zhimeng, Zhou Jianzhong, Xiang Xiuqiao, He Yaoyao, Peng Shan. A new method for automatically identifying the shaft orbit moving direction of hydroelectric generating set. Sensor Review，2010，30(3)197-203 (SCI检索 000280914200006, EI检索: 20103013092095)
[12]Zhi-meng Luo, Jian-zhong Zhou, Li-ping Zhenga, Li Mo ，Yao-yao He. A TFN–ANP based approach to evaluate Virtual Research Center comprehensive performance. Expert Systems with Applications 2010(37):8379–8386 (SCI检索000281339900111, EI检索: 20104213294255)
[13]寇攀高, 周建中, 何耀耀, 向秀桥, 李超顺. 基于菌群–粒子群算法的水轮发电机组PID调速器参数优化. 中国电机工程学报, 2009 29(26): 101-106 （EI 检索: 20094012357008）
[14]陆宁，周建中，何耀耀. 粒子群优化的神经网络模型在短期负荷预测中的应用.电力系统保护与控制2010,38(12):65-68（EI检索: 20102813067845）
[15]Ning Lu, Jianzhong Zhou, Yaoyao He, Ying Liu. Particle Swarm Optimization for Parameter Optimization of Support Vector Machine Model. in: the Second International Conference on Intelligent Computation Technology and Automation, 2009.:283-286（EI 检索: 20095112564514）
[16]Ning Lu, Jianzhong Zhou, Yaoyao He, Ying Liu. Simulated Annealing Theory based Particle Swarm Optimization for Support Vector Machine Model in Short-Term Load Forecasting. International Conference on Information Enginnering and Computer Science (IECS09), 2009. （EI 检索: 20101212792593）
[17]Chaoshun Li, Jianzhong Zhou, Xueli An, Yaoyao He, Hui He. T-S fuzzy model identification based on chaos optimization. The 5th International Symposium on Neural Networks (ISNN 2008), 2008 5263 LNCS 786-795 （EI 检索: 20090611899433）
[18]Xiaoyuan Zhang, Jianzhong Zhou, Yaoyao He, Vibration fault diagnosis of hydro-turbine generating unit based on rough 1-v-1multiclass support vector machine. The 6th International Conference on Natural Computation (ICNC 2010) 2:755-759（EI检索: 20104613380423）
[19]Pangao Kou, Jianzhong Zhou, Chaoshun L, Yaoyao He , Hui Hei. Identification of Hydraulic Turbine Governor System Parameters Based on Bacterial Foraging Optimization Algorithm. The 6th International Conference on Natural Computation (ICNC 2010) vol 7:3339-3343（EI检索: 20104613375088）
[20]罗志猛, 周建中, 张勇传, 莫莉, 何耀耀. 应用网络分析法的发电企业运营绩效综合评价.电网技术,2010 34 (9): 42-47（EI检索: 20104113293085）
[21]邹强, 周建中, 杨小玲, 何耀耀, 张勇传. 属性区间识别模型在溃坝后果综合评价中的应用. 四川大学学报(工程科学版), 2011,43(2):45-50 (EI检索:20111713935767)
[22]卢有麟, 周建中，宋利祥，何耀耀，王赢，张勇传. 基于CCPSO及投影寻踪模型的洪灾评估方法及其仿真应用, 系统仿真学报. 2010 22(2) :383-387,39
[23]罗志猛 周建中 覃晖 李清清 何耀耀 基于ANP的水电企业绩效评价模型. 水力发电， 2009，7: 70-72，80
京公网安备 11010802027423号