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Volumn 36, Issue 8, 2012, Pages 228-232

Monthly load forecasting based on grey relational degree and least squares support vector machine

Author keywords

Combination forecasting; Grey relational degree; Least squares support vector machine (LSSVM); Monthly load forecasting

Indexed keywords

COMBINATION FORECASTING; FORECASTING ACCURACY; GREY RELATIONAL DEGREE; HIGH DIMENSIONALITY; KERNEL FUNCTION; LEAST SQUARES SUPPORT VECTOR MACHINES; LOAD FORECASTING; MONTHLY LOAD; NONLINEAR COMBINATION; REDUNDANT DATA; SIMULATION MODEL; TRAINED SAMPLES; TRAINING SAMPLE;

EID: 84865819642     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (18)
  • 1
    • 84865831900 scopus 로고    scopus 로고
    • Chinese source
    • 1998: 5-6.
    • (1998) , pp. 5-6
  • 2
    • 84865831899 scopus 로고    scopus 로고
    • Chinese source
    • 2007: 139-141.
    • (2007) , pp. 139-141
  • 3
    • 14944347643 scopus 로고    scopus 로고
    • An optimum credibility based integrated optimum gray neural network model of monthly power load forecasting
    • Chinese source
    • Li Yuanyuan, Niu Dongxiao. An optimum credibility based integrated optimum gray neural network model of monthly power load forecasting [J]. Power System Technology, 2005, 29(5): 16-19(in Chinese).
    • (2005) Power System Technology , vol.29 , Issue.5 , pp. 16-19
    • Li, Y.1    Niu, D.2
  • 4
    • 25444488073 scopus 로고    scopus 로고
    • Gray variable weight combination model for middle and long term load forecasting
    • Chinese source
    • Yu Jianming, Yan Fei, Yang Wenyu, et al. Gray variable weight combination model for middle and long term load forecasting [J]. Power System Technology, 2005, 25(19): 26-29(in Chinese).
    • (2005) Power System Technology , vol.25 , Issue.19 , pp. 26-29
    • Yu, J.1    Yan, F.2    Yang, W.3
  • 5
    • 62949160324 scopus 로고    scopus 로고
    • A wavelet analysis based combined model for monthly load forecasting
    • Chinese source
    • Yao Lixiao, Liu Xueqin. A wavelet analysis based combined model for monthly load forecasting [J]. Power System Technology, 2007, 31(19): 65-68(in Chinese).
    • (2007) Power System Technology , vol.31 , Issue.19 , pp. 65-68
    • Yao, L.1    Liu, X.2
  • 6
    • 68049114588 scopus 로고    scopus 로고
    • Application of wavelet soft-threshold de-noising and GRNN in monthly load forecasting
    • Chinese source
    • Liu Xueqin, Wu Yaohua, Cui Baohua. Application of wavelet soft-threshold de-noising and GRNN in monthly load forecasting [J]. Power System Protection and Control, 2009, 37(14): 59-62(in Chinese).
    • (2009) Power System Protection and Control , vol.37 , Issue.14 , pp. 59-62
    • Liu, X.1    Wu, Y.2    Cui, B.3
  • 7
    • 77949515919 scopus 로고    scopus 로고
    • A comprehensive model for long- and medium-term load forecasting based on analytic hierarchy process and radial basis function neural network
    • Chinese source
    • Li Chunxiang, Niu Dongxiao, Meng Limin. A comprehensive model for long- and medium-term load forecasting based on analytic hierarchy process and radial basis function neural network [J]. Power System Technology, 2009, 33(2): 99-104(in Chinese).
    • (2009) Power System Technology , vol.33 , Issue.2 , pp. 99-104
    • Li, C.1    Niu, D.2    Meng, L.3
  • 8
    • 84865814910 scopus 로고    scopus 로고
    • GS-ANN based integrated model for weekly and monthly load forecasting
    • Chinese source
    • Wang Qiming, Fang Jing, Wang Ziqi, et al. GS-ANN based integrated model for weekly and monthly load forecasting [J]. Electric Power, 2009, 42(9): 44-47(in Chinese).
    • (2009) Electric Power , vol.42 , Issue.9 , pp. 44-47
    • Wang, Q.1    Fang, J.2    Wang, Z.3
  • 9
    • 84865831901 scopus 로고    scopus 로고
    • Chinese source
    • Vapnik V N. 2000: 96-116.
    • (2000) , pp. 96-116
    • Vapnik, V.N.1
  • 10
    • 0141678325 scopus 로고    scopus 로고
    • Study of support vector machines for short-term load forecasting
    • Chinese source
    • Li Yuancheng, Fang Tingjian, Yu Erkeng. Study of support vector machines for short-term load forecasting [J]. Proceedings of the CSEE, 2003, 26(3): 55-59(in Chinese).
    • (2003) Proceedings of the CSEE , vol.26 , Issue.3 , pp. 55-59
    • Li, Y.1    Fang, T.2    Yu, E.3
  • 11
    • 78651346249 scopus 로고    scopus 로고
    • Short-term load forecasting based on least squares support vector machines
    • Chinese source
    • Geng Yan, Han Xueshan, Han Li. Short-term load forecasting based on least squares support vector machines [J]. Power System Technology, 2008, 32(18): 72-76(in Chinese).
    • (2008) Power System Technology , vol.32 , Issue.18 , pp. 72-76
    • Geng, Y.1    Han, X.2    Han, L.3
  • 12
    • 77954096132 scopus 로고    scopus 로고
    • Combination method of mid-Long term load forecasting based on support vector machine
    • Chinese source
    • Xiao Xianyong, Ge Jia, He Desheng. Combination method of mid-Long term load forecasting based on support vector machine [J]. Proceedings of the CSU-EPSA, 2008, 20(1): 84-88(in Chinese).
    • (2008) Proceedings of the CSU-EPSA , vol.20 , Issue.1 , pp. 84-88
    • Xiao, X.1    Ge, J.2    He, D.3
  • 13
    • 78651578764 scopus 로고    scopus 로고
    • Abnormal data identification and missing data filling in medium-and long-term load forecasting
    • Chinese source
    • Mao Lifan, Yao Jiangang, Jin Yongshun, et al. Abnormal data identification and missing data filling in medium-and long-term load forecasting [J]. Power System Technology, 2010, 34(7): 148-153(in Chinese).
    • (2010) Power System Technology , vol.34 , Issue.7 , pp. 148-153
    • Mao, L.1    Yao, J.2    Jin, Y.3
  • 14
    • 79951683906 scopus 로고    scopus 로고
    • Spatial load forecasting of distribution network based on least squares support vector machine and load density index system
    • Chinese source
    • Zhou Quan, Sun Wei, Ren Haijun, et al. Spatial load forecasting of distribution network based on least squares support vector machine and load density index system [J]. Power System Technology, 2010, 35(1): 66-71(in Chinese).
    • (2010) Power System Technology , vol.35 , Issue.1 , pp. 66-71
    • Zhou, Q.1    Sun, W.2    Ren, H.3
  • 15
    • 78651577615 scopus 로고    scopus 로고
    • Short-term load forecasting for similar days based on support vector machine and dempster-shafer theory
    • Chinese source
    • Li Xinbin, Zhang Juan, Zhang Yan, et al. Short-term load forecasting for similar days based on support vector machine and dempster-shafer theory [J]. Power System Technology, 2010, 34(7): 143-147(in Chinese).
    • (2010) Power System Technology , vol.34 , Issue.7 , pp. 143-147
    • Li, X.1    Zhang, J.2    Zhang, Y.3
  • 16
    • 84865817118 scopus 로고    scopus 로고
    • Power system mid-term load forecasting based on fuzzy support vector machines
    • Chinese source
    • Zhai Yongjie, Wang Jingxian, Zhou Lihui. Power system mid-term load forecasting based on fuzzy support vector machines [J]. Journal of North China Electric Power University, 2008, 35(2): 70-73(in Chinese).
    • (2008) Journal of North China Electric Power University , vol.35 , Issue.2 , pp. 70-73
    • Zhai, Y.1    Wang, J.2    Zhou, L.3
  • 17
    • 77955042852 scopus 로고    scopus 로고
    • Study on long-term load forecasting of MIX-SVM based on rough set theory
    • Chinese source
    • Li Wei, Yan Ning, Zhang Zhengang. Study on long-term load forecasting of MIX-SVM based on rough set theory [J]. Power System Protection and Control, 2010, 38(13): 31-34(in Chinese).
    • (2010) Power System Protection and Control , vol.38 , Issue.13 , pp. 31-34
    • Li, W.1    Yan, N.2    Zhang, Z.3
  • 18
    • 70749092147 scopus 로고    scopus 로고
    • Medium and long-term load forecast based on PSO-RSVR
    • Chinese source
    • Zhang Xuejun, Chen Gang, Zhou Jie, et al. Medium and long-term load forecast based on PSO-RSVR [J]. Power System Protection and Control, 2009, 37(21): 77-81(in Chinese).
    • (2009) Power System Protection and Control , vol.37 , Issue.21 , pp. 77-81
    • Zhang, X.1    Chen, G.2    Zhou, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.