Wind Power Prediction Method Based on Long Short-term Memory Neural Network

Wind Power Prediction Method Based on Long Short-term Memory Neural Network

Wind power generation process has strong randomness, which leads to low accuracy of wind power prediction. In view of the above phenomenon, a wind power generation power prediction method based on deep learning algorithm was proposed. Taking the historical wind power data as input, a wind power pred...

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Bibliographic Details
Main Authors: Xiangjun LI, Gejian XU
Format: Article
Language:English
Published: Editorial Department of Power Generation Technology 2019-10-01
Series:发电技术
Subjects:
deep learning
time-series prediction
wind power generation
long short-term memory (lstm) neural network
Online Access:https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.19108

Internet

https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.19108

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