Short-Term Multi-Energy Load Forecasting Method Based on Transformer Spatio-Temporal Graph Neural Network

To tackle the limitations in simultaneously modeling long-term dependencies in the time dimension and nonlinear interactions in the feature dimension, as well as their inability to fully reflect the impact of real-time load changes on spatial dependencies, a short-term multi-energy load forecasting...

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Hlavní autoři:	Heng Zhou, Qing Ai, Ruiting Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Energies
Témata:	multi-energy load forecasting transformer graph neural network integrated energy systems deep learning
On-line přístup:	https://www.mdpi.com/1996-1073/18/17/4466
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