Application of short-term load forecasting based on improved gray-Markov residuals amending of BP neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6146 LNCS, Issue PART 2, 2010, Pages 564-569

  Niu, Dongxiao ^a   Xu, Cong ^a   Li, Jianqing ^a   Wei, Yanan ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

BP neural network; Gray Markov residuals amending; load forecasting

Indexed keywords

BP NEURAL NETWORKS; GRAY PREDICTION; LOAD FORECASTING; LOAD FORECASTING MODEL; RESIDUAL ERROR; SHORT TERM LOAD FORECASTING;

CELLULAR AUTOMATA; ELECTRIC LOAD FORECASTING;

NEURAL NETWORKS;

EID: 77954645253     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13498-2_73     Document Type: Conference Paper

References (6)

1. Bluementhal, R.M., Getoor, R.K.: Markov Process and Potential Theory. Academy Press, New York (1986)
2. Chen, S., Billings, S.A.: Neural Networks for Nonlinear Dynamic System Modeling and identification. Int. J. Control 56, 319-346 (1992)
3. Dongxiao, N., Zhihong, G.: Main Research on neural net-works based on culture particle swarm optimization and its application in power load forecasting. In: Proceedings-Third International Conference on Natural Computation, ICNC, pp. 270-274 (2007)
4. Habiballah, I.O., Ghosh-Roy, R., Irving, M.R.: Markov chains for multipartitioning large power system state estimation networks. Electric Power Systems Research 3, 135-140 (1998)
5. Youxin, L., Longting, Z., Huixin, G.: Grey system judgement on reliability of mechanical equipment. Internal J. of Plant Eng. and Management 21(3), 156-164 (2001)
6. Jones, D.I., Lorenz, M.H.: An application of a Markov chain noise model to wind generator simulation. Mathematics and Computers in Simulation 28, 391-402 (1986)