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《Building Energy Efficiency》 2013-02
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Least Squares Support Vector Machine(LS-SVM) Applied in Predicting Air-conditioning Load

TANG Li,TANG Zhong-hua,JIN Jun-jie(Southwest University of Science and Technology,Mianyang 621010,Sichuan,China)  
A new algorithm for short-term air-conditioning load forecasting is expounded based on the Least Squares Support Vector Machine(LS-SVM) method,establishing a prediction model for air-conditioning load with the FORTRAN software.The LS-SVM prediction model is used for predicting air-conditioning load of an office building in summer months in Mianyang area.Simulated results show that the LS-SVM method enjoys better forecasting accuracy and speed,which proved to be feasible and practical.
【Fund】: 西南科技大学创新基金(12ycjj27);; 四川省科技厅重点科研项目(2010JY0165);; 绵阳市重点专项(09Y003-13);; 四川省教育厅重点科研项目(2003A112)
【CateGory Index】: TU831.2;TP18
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Chinese Journal Full-text Database 7 Hits
1 CHEN Wen-ding,ZHAO Zhe-shen(Shanghai University,School of Machtronics Engineering and Automation,Shanghai 200071,China);Prediction of Air Conditioning Load Based On BP Neural Network[J];Energy Conservation Technology;2010-01
2 Li Qiong~★Meng Qinglin Hiroshi Yoshino Akashi Mochida★South China University of Technology,Guangzhou,China;Building air conditioning load prediction model based on support vector machine[J];Heating Ventilating & Air Conditioning;2008-01
3 LI Dong~1,WANG Hong-li~2,DU Zhong-xiao~3,WANG Chang-jiang~2,CHEN Bing-lin~4(1.School of Management,Tianjin University,Tianjin 300072,China;2.School of Mechanical Engineering,Tianjin University,Tianjin 300072,China;3.Tianjin Construction Administration Committee,Tianjin 300051,China;4.Tianjin Water Works Company Ltd,Tianjin 300040,China);SVM-Based Prediction of City Municipal and Domestic Water Consumption[J];Journal of Tianjin University(Social Sciences);2006-01
4 HE Da-si~1,ZHANG Xu~1,LIU Jia-ping~2(1.HVAC and Gas Insti.,Tongji Univ.,Shanghai 200092,China;2.School of Arch.,Xi'an Univ.of Arch.& Tech.,Xi'an 710055,China);Comparative analysis of air conditioning load prediction methods[J];Journal of Xi'an University of Architecture & Technology(Natural Science Edition);2006-01
5 CHEN Lei(College of Civil Engineering and Architecture,Zhejiang University of Technology,Hangzhou 310014,China);Genetic least squares support vector machine approach to hourly water consumption prediction[J];Journal of Zhejiang University(Engineering Science);2011-06
6 Lin Xingchun1 Cao Jiacong1 Ma Suzhen2 (1College of Environmental Science and Engineering,Donghua University 201620,2Tongji University);Artificial Neural Network Research and its Application in HVAC Load Forecasting[J];Refrigeration & Air-Condition;2007-02
7 YANG Zhuo (Guangxi Electric Power Industry Investigation Design and Research Institute,Nanning Guangxi 530023);Short-term Load Forecasting Based on Least Squares Support Vector Machine[J];Enterprise Science and Technology & Development;2010-10
Chinese Journal Full-text Database 10 Hits
1 JI Weixing1,CHEN Zhonghai1,FANG Zheng2 ( 1. City Construction Department,Hebei Institute of Architecture Civil Engineering,Zhangjiakou 075024,China; 2. Thermal Energy Research Institute,Tianjin University,Tianjin 300371,China);Air conditioning load prediction based on DE—BP algorithm[J];Sichuan Building Science;2010-05
2 WANG Zhi-xianga,WANG Zheng-lunb (a.Center of Vessel Engineering;b.School of Mechanical & Electrical Automotive Engineering,Chongqing Jiaotong University,Chongqing 400074,China);Study on SVM Regression Forecast on Welding Residual Stress and Deformation of 2205 Duplex Stainless Steel[J];Ship Engineering;2010-01
3 Wang Ruiqing;Application of Intelligent Model to Urban Water-Supply in Shanghai[J];Public Utilities;2009-05
4 SHI Xu-jun1,JIN Bei1,LIU Wen-bo1,LUO Geng-yu2,YANG Jie3(1.Hefei Electric Power Supply Company,Hefei 230000,China; 2.Anhui Jingdian Market Research and Consultation Co.,Ltd,Hefei 230061,China);Investigation analysis of summer resident air-conditioning cooling load in Hefei[J];Power Demand Side Management;2008-04
5 Wang Dan,Fang Liguo(Chemistry & Energy College,South China University of Technology,Guangzhou 510640,China);Research Development on the Application of Neural Network in Chemical Industry[J];Guangdong Chemical Industry;2007-10
6 SUN Yu-ying,ZHAO Yao-hua,WANG Wei,JIA Heng(College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China);Application Study of Air Conditioning System Operational Load Prediction Based on GRNN[J];Journal of Beijing University of Technology;2013-07
7 GU Yue-hong1,2,GE Zhao-xia1,2,XUE Mei1,2,SONG Ying-ling1,2(1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China;2.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China);Prediction model for annual domestic water consumption in Beijing City[J];Journal of Hohai University(Natural Sciences);2008-01
8 Li Qiong Meng Qing-lin(State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,Guangdong,China);Prediction Model of Hourly Air Conditioning Load of Building Based on RBF Neural Network[J];Journal of South China University of Technology(Natural Science Edition);2008-10
9 LIU Guo-bi,SUN Qun;Based on GA——LS-SVM Biomass Gasification Process[J];Journal of Langfang Teachers College(Natural Science Edition);2012-02
10 CUI Qing-an1,2,HE Zhen2,CUI Nan31.Institute of Management Engineering,Zhengzhou University,Zhengzhou 450001,China;2.School of Management,Tianjin University,Tianjin 300072,China;3.School of Economics and Management,Wuhan University,Wuhan 430072,China;SVM-based RSM model fitting approach[J];Journal of Management Sciences in China;2008-01
China Proceedings of conference Full-text Database 1 Hits
1 YANG Xu LIU Zi-fa ZHANG Jian-hua LI Cong (School of Electrical and Electronic Engineering,North China Electric Power University,Beijing,102206);URBAN POWER LOAD FORECASTING CONSIDERING CLIMATE FACTOR[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Wei Zhinong Wang Dan Sun Guoqiang Zheng Yuping(Hohai University Nanjing 210098 China Nanjing Automation Research Institute Nanjing 210003 China);A Novel Method of Short Time Load Probability Forecasting Based on Cascaded Neural Network[J];Transactions of China Electrotechnical Society;2005-01
2 CAO Shuang-hua, CAO Jia-cong (College of Environmental Science & Engineering, Donghua University, Shanghai, 200051);A Chaos Optimized Forecast for Air Conditioning Loads Based on Neural Network[J];Journal of Donghua University,Natural Science;2003-01
3 CAO Shuang-hua , CAO Jia-cong (College of Environmental Science & Engineering, Donghua University, Shanghai, 200051);Initial Investigation of Cascaded Neural Networks in Hourly Thermal Load Forecast of Next Day for Boiler Plant[J];Journal of Donghua University,Natural Science;2004-01
5 Gao Shan,Shan Yuanda Southeast U niversity,Nanjing2 10 0 96 ,China;NOVEL INPUT VARIABLE SELECTION FOR ANN SHORT- TERM LOAD FORECASTING[J];Automation of Electric Power Systems;2001-22
6 Xu Tao, He Renmu, Wang Peng, Xu Dongjie (North China Electric Power University, Beijing 102206, China);SHORT-TERM LOAD FORECASTING BASED ON INPUT DIMENSION REDUCTION[J];Automation of Electric Power Systems;2004-06
7 Kang Chongqing, Xia Qing, Zhang Boming Tsinghua University, Beijing 100084, China;REVIEW OF POWER SYSTEM LOAD FORECASTING AND ITS DEVELOPMENT[J];Automation of Electric Power Systems;2004-17
8 PAN Feng1,CHENG Hao-zhong1,YANG Jing-fei1,ZHANG Cheng2,PAN Zhen-dong2 (1.Dept. of Electrical Engineering,Shanghai Jiaotong University,Xuhui District,Shanghai 200030,China; 2.Changzhou Power Supply Company,Changzhou 213003,Jiangsu Province,China);POWER SYSTEM SHORT-TERM LOAD FORECASTING BASED ON SUPPORT VECTOR MACHINES[J];Power System Technology;2004-21
9 ZOU Zheng-da,SUN Ya-ming,ZHANG Zhi-sheng (School of Electrical Engineering and Automation,Tianjin University,Nankai District,Tianjin 300072,China);SHORT-TERM LOAD FORECASTING BASED ON RECURRENT NEURAL NETWORK USING ANT COLONY OPTIMIZATION ALGORITHM[J];Power System Technology;2005-03
10 YANG Jia 1, WU Xiang sheng 1,WANG Ning 1,ZHANG Ming qi 2 (1.Department of Architectural & Environmental Engineering, Logistical Engineering University, Chongqing 400041, China; 2.Natinal Forest Bureau Kunming Investigate and Design Institute, Ku;Research on Load Prediction Model of Air Condition System Based on Elman Neural Network[J];Journal of Chongqing University(Natural Science Edition);2002-08
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