A hybrid deep learning model for short‐term load forecasting of distribution networks integrating the channel attention mechanism

A hybrid deep learning model for short‐term load forecasting of distribution networks integrating the channel attention mechanism

Abstract Optimizing short‐term load forecasting performance is a challenge due to the randomness of nonlinear power load and variability of system operation mode. The existing methods generally ignore how to reasonably and effectively combine the complementary advantages among them and fail to captu...

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Bibliographic Details
Main Authors: Boyu Qin, Xin Gao, Tao Ding, Fan Li, Dong Liu, Zhe Zhang, Ruanming Huang
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:IET Generation, Transmission & Distribution
Subjects:
power system identification
power system parameter estimation
Online Access:https://doi.org/10.1049/gtd2.13142

Internet

https://doi.org/10.1049/gtd2.13142

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