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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 249208, 31 pages
http://dx.doi.org/10.1155/2014/249208
Research Article

A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price

1Department of Basic Courses, Lanzhou Institute of Technology, Lanzhou 730050, China
2School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China

Received 2 April 2014; Accepted 19 May 2014; Published 14 July 2014

Academic Editor: Fuding Xie

Copyright © 2014 Zhilong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhilong Wang, Feng Liu, Jie Wu, and Jianzhou Wang, “A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price,” Abstract and Applied Analysis, vol. 2014, Article ID 249208, 31 pages, 2014. doi:10.1155/2014/249208