Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer

Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting. The method integrates multi-frequency sequence feature analysis and multi-point correcti...

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Bibliographic Details
Main Authors:	Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Energy Research
Subjects:	short-term load forecasting FEDformer VMD time series forecasting lightgbm multi-point modify
Online Access:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1524319/full
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