Enhanced Transformer for Multivariate Load Forecasting: Timestamp Embedding and Convolution-Augmented Attention

Aiming at the insufficient capture of temporal dependence and weak coupling of external factors in multivariate load forecasting, this paper proposes a Transformer model integrating timestamp-based positional embedding and convolution-augmented attention. The model enhances temporal modeling capabil...

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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Wanxing Sheng, Xiaoyu Yang, Dongli Jia, Keyan Liu, Zhenhao Wang, Rongheng Lin
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2026-01-01
Rangatū:	Energies
Ngā marau:	multivariate load forecasting attention mechanism transformers deep learning
Urunga tuihono:	https://www.mdpi.com/1996-1073/19/3/596
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!