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TF-LiteNet:a time-frequency fusion lightweight network for multi-source load and renewable forecasting in virtual power plants

Zixu Zhu Di Chen Linjun Wei Zhongxing Wu

全球能源互联网(英文)2026,Vol.9Issue(4):697-711,15.
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全球能源互联网(英文)2026,Vol.9Issue(4):697-711,15.DOI:10.1016/j.gloei.2025.12.006

TF-LiteNet:a time-frequency fusion lightweight network for multi-source load and renewable forecasting in virtual power plants

TF-LiteNet:a time-frequency fusion lightweight network for multi-source load and renewable forecasting in virtual power plants

Zixu Zhu 1Di Chen 2Linjun Wei 1Zhongxing Wu1

作者信息

  • 1. China Electric Power Research Institute,Beijing 100192,P.R.China
  • 2. China National Accreditation Service for Conformity Assessment,Beijing 100062,P.R.China
  • 折叠

摘要

关键词

Virtual Power Plant(VPP)/Time-frequency fusion/Deep learning/Load forecasting

Key words

Virtual Power Plant(VPP)/Time-frequency fusion/Deep learning/Load forecasting

引用本文复制引用

Zixu Zhu,Di Chen,Linjun Wei,Zhongxing Wu..TF-LiteNet:a time-frequency fusion lightweight network for multi-source load and renewable forecasting in virtual power plants[J].全球能源互联网(英文),2026,9(4):697-711,15.

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