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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 183095, 13 pages
http://dx.doi.org/10.1155/2014/183095
Research Article

An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales

1School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China
2School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China
3Department of Statistics, Florida State University, Tallahassee, FL 32310, USA

Received 17 March 2014; Accepted 18 April 2014; Published 3 June 2014

Academic Editor: Fuding Xie

Copyright © 2014 Ping Jiang 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

Ping Jiang, Qingping Zhou, Haiyan Jiang, and Yao Dong, “An Optimized Forecasting Approach Based on Grey Theory and Cuckoo Search Algorithm: A Case Study for Electricity Consumption in New South Wales,” Abstract and Applied Analysis, vol. 2014, Article ID 183095, 13 pages, 2014. doi:10.1155/2014/183095