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《Transactions of China Electrotechnical Society》 2015-09
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Short-Term Wind Speed Combined Prediction for Wind Farms Based on Wavelet Transform

Tian Zhongda;Li Shujiang;Wang Yanhong;Gao Xianwen;College of Information Science and Engineering Shenyang University of Technology;College of Information Science and Engineering Northeastern University;  
In order to improve short-term wind speed prediction accuracy of wind farms, a combined prediction method based on the wavelet transform is proposed. Firstly,the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next,according to the different characteristics of these components,the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictive models for the approximate components and the detail components respectively. Then,the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.
【Fund】: 国家自然科学基金重点项目(61034005);; 辽宁省博士科研启动基金(20141070)资助
【CateGory Index】: TM614
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Chinese Journal Full-text Database 10 Hits
1 CHEN Qinghong1,XING Linhua1,XIAO Jianhua2,MENG Anbo2,WANG Xinghua2,3(1.Jieyang Power Supply Bureau of Guangdong Power Grid Corporation,Jieyang,Guangdong 522000,China;2.Guangdong University of Technology,Guangzhou,Guangdong 510006,China;3.South China University of Technology,Guangzhou,Guangdong 510640,China);Study on Wind Power Short-time Power Prediction Based on Bayes Neural Network[J];Guangdong Electric Power;2013-01
2 LING Wuneng,HANG Naishan,LI Ruqi(School of Electrical Engineering,Guangxi University,Nanning 530004,China);Short-term wind power forecasting based on cloud SVM model[J];Electric Power Automation Equipment;2013-07
3 Wang He;Hu Zhijian;Chen Zhen;Zhang Menglin;He Jianbo;Li Chen;Wuhan University;;A Hybrid Model for Wind Power Forecasting Based on Ensemble Empirical Mode Decomposition and Wavelet Neural Networks[J];Transactions of China Electrotechnical Society;2013-09
4 Wang He;Hu Zhijian;Zhang Yihui;Li Chen;Yang Nan;Wang Zhansheng;Wuhan University;Guangxi Electric Power Research Institute;Xinxiang Power Supply Company;;A Hybrid Model for Short-Term Wind Speed Forecasting Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machines[J];Transactions of China Electrotechnical Society;2014-04
5 Wang He;Hu Zhijian;Zhang Menglin;Beijing Forestry University;Wuhan University;;A Combined Forecasting Model for Range of Wind Power Fluctuation Based on Fuzzy Information Granulation and Least Squares Support Vector Machine[J];Transactions of China Electrotechnical Society;2014-12
6 ZHAO Hong-wei;WANG Yuan-yuan;ZENG Ying;YAN Shao-ling;Dispatching & Control Center,Guangzhou Power Supply Bureau;Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control,Changsha University of Science and Technology;Loudi Electric Power Corporation;Fujian Zhongmin Energy Investment Co. Ltd.;;A wind power prediction method based on RBF neural network with optimal input[J];Journal of Electric Power Science and Technology;2014-04
7 XUE Yusheng;YU Chen;ZHAO Junhua;Kang LI;Xueqin LIU;Qiuwei WU;Guangya YANG;NARI Group Corporation (State Grid Electric Power Research Institute);School of Automation,Nanjing University of Science and Technology;College of Electrical Engineering,Zhejiang University;Queen's University Belfast;Technical University of Denmark;;A Review on Short-term and Ultra-short-term Wind Power Prediction[J];Automation of Electric Power Systems;2015-06
8 JIANG Yuewen;LIN Xiaoyu;College of Electrical Engineering and Automation,Fuzhou University;;Wind power short- term point forecast confidence interval estimation based on parametric and non- parametric calculation[J];Journal of Fuzhou University(Natural Science Edition);2015-01
9 YU Chen;XUE Yusheng;WEN Fushuan;DONG Zhaoyang;K.P.WONG;Kang LI;School of Automation,Nanjing University of Science and Technology;NARI Group Corporation (State Grid Electric Power Research Institute);College of Electrical Engineering,Zhejiang University;Department of Electrical and Electronic Engineering,Institut Teknologi Brunei;China Southern Power Grid Electric Power Research Institute;The University of Sydney;The University of Western Australia;Queen's University Belfast;;An Ultra-short-term Wind Power Prediction Method Using "Offline Classification and Optimization,Online Model Matching" Based on Time Series Features[J];Automation of Electric Power Systems;2015-08
10 WANG Hui;LIU Da;WANG Jilong;School of Economics and Management, North China Electric Power University;;Ultra-Short-Term Wind Speed Prediction Based on Spectral Clustering and Optimized Extreme Learning Machine[J];Power System Technology;2015-05
China Proceedings of conference Full-text Database 1 Hits
1 Xiao Cheng, Peng Guo School of Control and Computer Engineering, North China Electric Power University, Changping, Beijing 102206;Short-term Wind Speed Prediction Based On Support Vector Machine Of Fuzzy Information Granulation[A];[C];2013
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 SHAO Fan,SUN Yu-he,LIANG Lan-zhen;Study on the time-series wind speed forecasting of the wind farm based on time series[J];Electric Power Environmental Protection;2008-04
2 PAN Di-fu1,LIU Hui1,LI Yan-fei2 (1.School of Traffic & Transportation Engineering,Central South University,Changsha 410075,Hunan Province,China; 2.Key Laboratory of Traffic Safety on the Track (Central South University),Ministry of Education, Changsha 410075,Hunan Province,China);A Wind Speed Forecasting Optimization Model for Wind Farms Based on Time Series Analysis and Kalman Filter Algorithm[J];Power System Technology;2008-07
3 DU Ying1,LU Ji-ping1,LI Qing2,DENG Ying-ling3 (1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University),Shapingba District,Chongqing 400044,China;2.Gansu Clean Source of Wind Power Co., Ltd., Lanzhou 730050,Gansu Province,China;3.China CIVIL Zhanjiang Air Traffic Management Station, Zhanjiang 524017,Guangdong Province,China);Short-Term Wind Speed Forecasting of Wind Farm Based on Least Square-Support Vector Machine[J];Power System Technology;2008-15
4 Guo Tong;Lan Ju-long;Li Yu-feng;Jiang Yi-ming;National Digital Switching System Engineering & Technological Research Center;;Network Traffic Prediction with Radial Basis Function Neural Network Based on Quantum Adaptive Particle Swarm Optimization[J];Journal of Electronics & Information Technology;2013-09
5 HAN Shuang,YANG Yong-ping,LIU Yong-qian(School of Energy and Power Engineering,North China Electric Power University,Beijing 102206,China);Application study of three methods in wind speed prediction[J];Journal of North China Electric Power University(Natural Science Edition);2008-03
6 WU Xing-hua,ZHOU Hui,HUANG Mei(School of Electric Engineering,Beijing Jiaotong University,Beijing 100044,China);Wind speed and generated power forecasting based on pattern recognition in wind farm[J];Relay;2008-01
7 YAN Huai-cheng,HUANG Xin-han,WANG Min(Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan Hubei 430074,China);Delay-dependent stability of networked control systems with uncertainties and multiple time-varying delays[J];Control Theory & Applications;2008-02
8 TANG Bin~(1,2),ZHANG Yun~1,LIU Guo-ping~(2,3),GUI Wei-hua~2 (1.Faculty of Automation,Guangdong University of Technology,Guangzhou 510006,China;2.School of Information Science and Engineering,Central South University,Changsha 410083,China;3.Department of Engeneering,University of Glamorgan,Pontypridd CF37 1DL,UK.;Networked generalized predictive control based on state-space model[J];Control and Decision;2010-04
9 SHI Wei-guo1,2,SHAO Cheng1,SUN Zheng-yang2(1.School of Control and Science Engineering,Dalian University of Technology,Dalian 116024,China;2.College of Electrical and Information,Dalian Jiaotong University,Dalian 116028,China.);Improved GPC network-control algorithm based on AR model time-delay prediction[J];Control and Decision;2012-03
10 HAN Xiao-xia,XIE Gang,HAN Xiao-ming,XIE Ke-ming(College of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China.);Application of phase space reconstruction and support vector regression for forecasting of catalyst deactivation[J];Control and Decision;2012-06
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