Multi-Scale Spatiotemporal Fusion and Steady-State Memory-Driven Load Forecasting for Integrated Energy Systems

Load forecasting for Integrated Energy Systems (IESs) is critical to enabling multi-energy coordinated optimization and low-carbon scheduling. Facing multi-load types and multi-site high-dimensional heterogeneous data, there remains a global learning challenge stemming from insufficient representati...

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Detalhes bibliográficos

Principais autores:	Yong Liang, Lin Bao, Xiaoyan Sun, Junping Tang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Information
Assuntos:	integrated energy system load forecasting spatiotemporal topology encoder multi-scale hybrid convolver temporal segmentation transformer steady-state exponentially gated memory
Acesso em linha:	https://www.mdpi.com/2078-2489/17/3/309
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