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Mathematical Problems in Engineering
Volume 2015, Article ID 608597, 18 pages
http://dx.doi.org/10.1155/2015/608597
Research Article

Short-Term Wind Speed Forecasting Study and Its Application Using a Hybrid Model Optimized by Cuckoo Search

1Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province/Key Open Laboratory of Arid Climatic Change and Disaster Reduction of Chinese Meteorological Administration, Institute of Arid Meteorology, Chinese Meteorological Administration, Lanzhou 730020, China
2Gansu Meteorological Service Center, Lanzhou, Gansu 730020, China
3School of Mathematics & Statistics, Lanzhou University, Lanzhou, Gansu 730000, China
4MOE Key Laboratory of Western China’s Environmental Systems, Research School of Arid Environment & Climate Change, Lanzhou University, Lanzhou 730000, China
5Scientific Information Center for Resources and Environment, Lanzhou Branch of the National Science Library, Chinese Academy of Sciences, Lanzhou 730000, China
6Datong Meteorological Bureau of Shanxi Province, Datong 037010, China

Received 15 October 2014; Accepted 16 January 2015

Academic Editor: Erol Egrioglu

Copyright © 2015 Xuejun Chen 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Sarah Osama, Ashraf Darwish, Essam H. Houssein, Aboul Ella Hassanien, Aly A. Fahmy, and Ayman Mahrous, “Long-term wind speed prediction based on optimized support vector regression,” 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 191–196, . View at Publisher · View at Google Scholar
  • Ummuhan Basaran Filik, “A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Sarah Osama, Aboul Ella Hassanien, Essam H. Houssein, and Aly A. Fahmy, “Forecast of wind speed based on whale optimization algorithm,” ACM International Conference Proceeding Series, 2017. View at Publisher · View at Google Scholar
  • Reinhold Remmert, and Essam H. Houssein, “Machine Learning and Meta-heuristic Algorithms for Renewable Energy: A Systematic Review,” Classical Topics in Complex Function Theory, vol. 172, pp. 165–187, 2019. View at Publisher · View at Google Scholar