Explainable Smart-Building Energy Consumption Forecasting and Anomaly Diagnosis Framework Based on Multi-Head Transformer and Dual-Stream Detection

Fine-grained energy management in smart-campus buildings requires accurate load forecasting together with reliable and interpretable anomaly diagnosis. This study presents an integrated forecasting–diagnosis framework for building energy systems. Hourly energy demand is modeled using a Transformer-b...

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Autori principali:	Yuanyu Cai, Dan Liao, Bin Liu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-04-01
Serie:	Applied Sciences
Soggetti:	energy consumption forecasting campus buildings transformer anomaly diagnosis smart buildings building energy management
Accesso online:	https://www.mdpi.com/2076-3417/16/8/3836
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