A Multi-channel Feature Combination Model for Ultra-short-term Wind Power Prediction Under Carbon Neutral Background

A Multi-channel Feature Combination Model for Ultra-short-term Wind Power Prediction Under Carbon Neutral Background

Wind power will become one of the dominant power sources of China oriented to carbon neutral. With the rapid development of artificial intelligence technology, artificial neural networks are widely used in wind power generation forecasting. Traditional artificial neural network algorithms use fixed-...

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Bibliographic Details
Main Authors: Shubang HUANG, Yao CHEN, Yuqing JIN
Format: Article
Language:English
Published: Editorial Department of Power Generation Technology 2021-02-01
Series:发电技术
Subjects:
carbon neutral
wind power generation
ultra-short-term power prediction
artificial neural network
multi-channel
Online Access:https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.20103

Internet

https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.20103

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