Wind speed forecasting based on wavelet decomposition and wavelet neural networks optimized by the Cuckoo search algorithm

Wind speed forecasting based on wavelet decomposition and wavelet neural networks optimized by the Cuckoo search algorithm

Wind speed forecasting is of great importance for wind farm management and plays an important role in grid integration. Wind speed is volatile in nature and therefore it is difficult to predict with a single model. In this study, three hybrid multi-step wind speed forecasting models are developed an...

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Bibliographic Details
Main Authors: Ye ZHANG, Shiping YANG, Zhenhai GUO, Yanling GUO, Jing ZHAO
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-03-01
Series:Atmospheric and Oceanic Science Letters
Subjects:
wind speed forecast
wavelet decomposition
neural network
cuckoo search algorithm
Online Access:http://dx.doi.org/10.1080/16742834.2019.1569455

Internet

http://dx.doi.org/10.1080/16742834.2019.1569455

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