A novel hybrid approach based on cuckoo search optimization algorithm for short-term wind speed forecasting-Reference-Cited by-同舟云学术

A novel hybrid approach based on cuckoo search optimization algorithm for short-term wind speed forecasting

Published:2017-03-20 Issue:3 Volume:36 Page:943-952
ISSN:1944-7442
Container-title:Environmental Progress & Sustainable Energy
language:en
Short-container-title:Environ. Prog. Sustainable Energy

Author:

Zhang Kequan¹,Qu Zongxi¹,Wang Jianzhou²,Zhang Wenyu¹,Yang Feiyue¹

Affiliation:

1. Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province; College of Atmospheric Sciences, Lanzhou University; Lanzhou 730000 China

2. School of Statistics; Dongbei University of Finance and Economics; Dalian 116025 China

Publisher

Wiley

Subject

General Environmental Science,Waste Management and Disposal,Water Science and Technology,General Chemical Engineering,Renewable Energy, Sustainability and the Environment,Environmental Chemistry,Environmental Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ep.12533/fullpdf

Reference42 articles.

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2. Combined forecasting models for wind energy forecasting: A case study in China;Xiao;Renewable & Sustainable Energy Reviews,2015

3. Interval forecasts of a novelty hybrid model for wind speeds;Qin;Energy Reports,2015

4. A new approach to very short term wind speed prediction using k-nearest neighbor classification;Yesilbudak;Energy Conversion and Management,2013

5. A review on the forecasting of wind speed and generated power;Lei;Renewable and Sustainable Energy Reviews,2009

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