Forecasting of Short-Term Load Using the MFF-SAM-GCN Model

Forecasting of Short-Term Load Using the MFF-SAM-GCN Model

Short-term load forecasting plays a significant role in the operation of power systems. Recently, deep learning has been generally employed in short-term load forecasting, primarily in the extraction of the characteristics of digital information in a single dimension without taking into account of t...

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Bibliographic Details
Main Authors: Yongqi Zou, Wenjiang Feng, Juntao Zhang, Jingfu Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
short-term load forecasting
bi-directional long short-term memory
one-dimensional convolutional neural network
graph convolutional network
Online Access:https://www.mdpi.com/1996-1073/15/9/3140

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https://www.mdpi.com/1996-1073/15/9/3140

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