Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network

Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network

Building energy consumption prediction (BECP) is the essential foundation for attaining energy efficiency in buildings, contributing significantly to tackling global energy challenges and facilitating energy sustainability. However, while data-driven methods have emerged as a crucial method to solvi...

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Autores principales: Bo Wang, Qiming Fu, You Lu, Ke Liu
Formato: Artículo
Lenguaje:inglés
Publicado: MDPI AG 2025-07-01
Colección:Information
Materias:
building energy consumption prediction
transfer learning
low-rank decomposition
TCN
Acceso en línea:https://www.mdpi.com/2078-2489/16/7/575
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