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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 231765, 8 pages
http://dx.doi.org/10.1155/2015/231765
Research Article

Short-Term Power Load Point Prediction Based on the Sharp Degree and Chaotic RBF Neural Network

School of Economics and Management, North China Electric Power University, Beijing 102206, China

Received 21 October 2014; Revised 9 December 2014; Accepted 16 December 2014

Academic Editor: Dan Simon

Copyright © 2015 Dongxiao Niu 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

Dongxiao Niu, Yan Lu, Xiaomin Xu, and Bingjie Li, “Short-Term Power Load Point Prediction Based on the Sharp Degree and Chaotic RBF Neural Network,” Mathematical Problems in Engineering, vol. 2015, Article ID 231765, 8 pages, 2015. doi:10.1155/2015/231765