Intelligent Load Forecasting for Central Air Conditioning Using an Optimized Hybrid Deep Learning Framework

Accurate load forecasting of central air conditioning (CAC) systems is crucial for enhancing energy efficiency and minimizing operational costs. However, the complex nonlinear correlations among meteorological factors, water system dynamics, and cooling demand make this task challenging. To address...

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Detalhes bibliográficos

Principais autores:	Wei He, Rui Hua, Yulong Xiao, Yuce Liu, Chaohui Zhou, Chaoshun Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-10-01
coleção:	Energies
Assuntos:	central air conditioning load forecasting BiTCN BiGRU self-attention mechanism
Acesso em linha:	https://www.mdpi.com/1996-1073/18/21/5736
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