Short-term electricity price forecast model based on adaptive variable coefficients particle swarm optimizer and radial basis function neural network hybrid algorithm

Dianwang Jishu/Power System Technology

Volumn 34, Issue 1, 2010, Pages 98-106

  Shi, Biao ^a   Li, Yu Xia ^a   Yu, Xin Hua ^b   Yan, Wang ^a   Li, Na ^a   Meng, Xin ^a  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Electricity price forecast; Generalization capacity; Hybrid optimization algorithm; Particle swarm optimization (PSO) algorithm; Radial basis function (RBF) neural network

Indexed keywords

ELECTRICITY PRICES; GENERALIZATION CAPACITY; HYBRID OPTIMIZATION ALGORITHM; PARTICLE SWARM OPTIMIZATION ALGORITHM; RADIAL BASIS FUNCTION NEURAL NETWORKS;

ALGORITHMS; ATTITUDE CONTROL; COMMERCE; COMPUTER SIMULATION; COSTS; ELECTRIC LOAD FORECASTING; PARTICLE SWARM OPTIMIZATION (PSO); POWER GENERATION; RADIAL BASIS FUNCTION NETWORKS;

NEURAL NETWORKS;

EID: 78651567968     PISSN: 10003673     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Li Yuxia, Shi Xiaojun, Zhao Junke, et al. SMP forecast based on analogue search and ANN in day-ahead market[J]. Journal of Hydroelectric Engineering, 2006, 25(1): 6-9(in Chinese).
2. Zhang Zhe, Jiang Changming, Xu Xiaofei, et al. Application of location marginal price based congestion management theory in north China power grid[J]. Power System Technology, 2008, 32(6): 81-86(in Chinese).
3. Tan Zhongfu, Chen Guangjuan, Qi Jianxun, et al. Research on time-of-use price at generation side based on optimal configuration of power resources[J]. Power System Technology, 2008, 32(7): 61-65(in Chinese).
4. Yu Fan, Shen Jiong, Liu Xichui. Day-ahead marginal price forecasting based on autoregressive conditional heteroskedasticity-back propagation network model[J]. Power System Technology, 2008, 32(8): 63-66(in Chinese).
5. Wu Xinghua, Zhou Hui. A grey model of electricity price forecasting based on period residual modification[J]. Power System Technology, 2008, 32(8): 67-70(in Chinese).
6. Xu Wei, Kang Chongqing, Zhong Sheng, et al. Analysis on bidding space for power grid enterprises' decision-making of electricity purchasing and sales[J]. Power System Technology, 2008, 32(9): 15-20(in Chinese).
7. Wang Chengwen, Wang Mianbin, Tan Zhongfu, et al. Calculation model of retail price based on pool purchase price simulated by brownian motion[J]. Power System Technology, 2008, 32(9): 21-26(in Chinese).
8. Huang Dawei, Han Xueshan, Guo Zhizhong. Analysis on generation companies' bidding strategy taking unit ramp rate constraints into account[J]. Power System Technology, 2008, 32(11): 79-83(in Chinese).
9. Li Qingqing, Zhou Jianzhong, Mo Li, et al. Analysis on generators' bidding strategy based on sequential game model[J]. Power System Technology, 2008, 32(14): 85-89(in Chinese).
10. Zhang Yubo, Li Chunjie, Huang Wenjie. Extensible fuzzy theory based rationality assessment of regional electricity market condition and research on forewarning mechanism[J]. Power System Technology, 2008, 32(14): 90-95(in Chinese).
11. Xie Pinjie, Tan Zhongfu, Shang Jincheng, et al. Short-term electricity price forecasting based on wavelet transform and generalized autoregressive conditional heteroskedasticity model[J]. Power System Technology, 2008, 32(16): 96-100(in Chinese).
12. Gu Danzhen, Ai Qian, Chen Chen, et al. Application of adaptive neural network in dynamic load modeling[J]. Proceedings of the CSEE, 2007, 27(16): 31-36(in Chinese).
13. Li Yonggang, Gui Weihua, Yang Chunhua, et al. A resilient particle swarm optimization algorithm[J]. Control and Decision, 2008, 23(1): 95-98(in Chinese).
14. Zhang Xuanping, Du Yuping, Qin Guoqiang, et al. Adaptive particle swarm algorithm with dynamically changing inertia weight[J]. Journal of Xi'an Jiaotong University, 2005, 39(10): 1039-1042(in Chinese).
15. Li Yuxia, Shi Xiaojun, Duan Lingjian, et al. Research on forecasting weekend smp in electric power market[J]. Journal of Xi'an University of Technology, 2005, 21(1): 91-94(in Chinese).