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Advances in Meteorology
Volume 2017, Article ID 6856139, 22 pages
Research Article

Short-Term Wind Speed Prediction Using EEMD-LSSVM Model

1State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
2School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
3School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China

Correspondence should be addressed to Xiaohui Yuan; nc.ude.tsuh@17hxy and Xiaohui Lei; moc.361@yks_iuhoaixiel

Received 1 August 2017; Revised 6 November 2017; Accepted 14 November 2017; Published 12 December 2017

Academic Editor: Ilan Levy

Copyright © 2017 Aiqing Kang 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

Aiqing Kang, Qingxiong Tan, Xiaohui Yuan, Xiaohui Lei, and Yanbin Yuan, “Short-Term Wind Speed Prediction Using EEMD-LSSVM Model,” Advances in Meteorology, vol. 2017, Article ID 6856139, 22 pages, 2017.