TFTformer: A novel transformer based model for short-term load forecasting

Electrical load forecasting is essential for the efficient operation and planning of power systems. Recent studies have employed Transformer models in forecasting due to their unique attention mechanisms and ability to extract correlations in data. However, these models face challenges in integratin...

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Bibliographic Details
Main Authors: Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525001000
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