A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network

A Short-Term Wind Speed Forecasting Model Based on a Multi-Variable Long Short-Term Memory Network

Accurately forecasting wind speed on a short-term scale has become essential in the field of wind power energy. In this paper, a multi-variable long short-term memory network model (MV-LSTM) based on Pearson correlation coefficient feature selection is proposed to predict the short-term wind speed....

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Bibliographic Details
Main Authors:	Anqi Xie, Hao Yang, Jing Chen, Li Sheng, Qian Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Atmosphere
Subjects:	wind speed prediction multi-variable LSTM neural networks
Online Access:	https://www.mdpi.com/2073-4433/12/5/651

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