A model for medium and long term load forecasting based on rough set theory and heuristic radial basic function neural network

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 40, Issue 16, 2012, Pages 21-26

  Xia, Fei ^a   Fan, Li ^a   Su, Hao Yi ^b  

^a NANCHANG INSTITUTE OF TECHNOLOGY   (China)

^b Xiangtan Power Supply Bureau   (China)

Author keywords

Attribute reduction; Heuristic operator; Load forecasting; Orthogonal signal correction; Radial basic function (RBF) neural network; Rough set theory

Indexed keywords

ATTRIBUTE REDUCTION; HEURISTIC OPERATOR; LOAD FORECASTING; ORTHOGONAL SIGNAL CORRECTION; RADIAL BASIC FUNCTION;

ELECTRIC LOAD FORECASTING; FORECASTING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

ROUGH SET THEORY;

EID: 84867054447     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. PARKD C. Electric load forecasting using an artificial neural network[J]. IEEE Transactions on PWRS, 1991, 6(2): 442 -449.
2. LI Chun-xiang, NIU Dong-xiao, MENG Li-min. 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.
3. ZHAO Jian-jian, ZHANG Bu-han, CHENG Shi-jie, et al. A deterministic annealing clustering based short-term load forecasting method with radial basis function network[J]. Power System Technology, 2003, 27(6): 22-25.
4. WU Li, WU Jie, YE Jun. An improving fuzzy clustering algorithm in long-term load forecasting[J]. Power System Technology, 2000, 24(1): 36-38.
5. ZHANG Xiao-hui. Per-unit value weighted average combined variable generated method for mid-long term power load forecasting[J]. Power System Protection and Control, 2009, 37(12): 40-43.
6. ZHANG Xue-jun, 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.
7. LI Wei, YAN Ning, ZHANG Zhen-gang. 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.
8. WEN Qing, ZHANG Xiao-hui, YANG Xu. The application of combination forecasting model in medium-long term load forecasting based on load error and economic development trend[J]. Power System Protection and Control, 2011, 39(3): 57-61.
9. Wold S, Antti H, Lindgren F, et al. Orthogonal signal correction of near-infrared spectra[J]. Chemometrics and Intelligent Laboratory Systems, 1998, 44(1-2): 175-185.
10. LI Chun-fu, WANG Gui-zeng, YE Hao, et al. Orthogonal signal correction and its application to soft sensing[J]. Information and Control, 2004, 33(4): 500-503.
11. CHEN Xing-qiong, DENG Chang-hong, PAN Zhang-da, et al. Power system load modeling based on recurrent RBF neural network[J]. Power System Technology, 2007, 31(17): 56-59.
12. PANG Qing-le. A rough set-based neural network load forecasting algorithm and its application in short-term load forecasting[J]. Power System Technology, 2010, 34(12): 168-173.
13. MAO Li-fan, JIANG Yue-chun, YAO Jian-gang, et al. Medium and long term load forecasting based on orthogonal signal correction and partial least-squares regression[J]. Proceedings of the CSEE, 2009, 29 (16): 82-88.
14. Shanghai Statistics Bureau. 2006 Shanghai statistical yearbook[M]. Beijing: China Statistics Press, 2006.