Diffusion‐based conditional wind power forecasting via channel attention

Diffusion‐based conditional wind power forecasting via channel attention

Abstract Wind energy is one of the most significant renewable sources of energy while accurate and reliable wind power forecasting methods may greatly benefit power system planning and scheduling. Recently, many machine learning algorithms have shown significant advantages in how to extract temporal...

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Bibliographic Details
Main Authors: Hongqiao Peng, Hui Sun, Shuxin Luo, Zhengmin Zuo, Shixu Zhang, Zhixian Wang, Yi Wang
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Renewable Power Generation
Subjects:
artificial intelligence
data mining
wind power
Online Access:https://doi.org/10.1049/rpg2.12825

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