UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data

UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data

Abstract Accurate short-term load forecasting (STLF) provides important support for the economic and stable operation of the power system. Although various deep learning methods have achieved good results in STLF, they usually model load features only from a limited perspective, i.e., they do not un...

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Bibliographic Details
Main Authors: Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Short-term load forecasting
Smart grid
Deep learning
Mask-guided multiscale interactive self-attention mechanism
Convolutional enhancement-fusion embedding
Online Access:https://doi.org/10.1038/s41598-025-88566-4
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https://doi.org/10.1038/s41598-025-88566-4

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