Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy

Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy

Accurate wind speed forecasting is of great significance for a reliable and secure power generation system. In order to improve forecasting accuracy, this paper introduces the LSTM neural network and proposes a wind speed statistical forecasting method based on the EEMD-FuzzyEn-LSTMNN model. Moreove...

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Bibliographic Details
Main Authors: Qiong Qin, Xu Lai, Jin Zou
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
wind speed forecasting
long short-term memory
neural network
ensemble empirical mode decomposition
fuzzy entropy
maximal information coefficient
autocorrelation
Online Access:http://www.mdpi.com/2076-3417/9/1/126

Internet

http://www.mdpi.com/2076-3417/9/1/126

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