Clustering and Interpretability of Residential Electricity Demand Profiles

Efficient energy management relies on uncovering meaningful consumption patterns from large-scale electricity load demand profiles. With the widespread adoption of sensor technologies such as smart meters and IoT-based monitoring systems, granular and real-time electricity usage data have become ava...

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Bibliografiske detaljer

Principais autores:	Sarra Kallel, Manar Amayri, Nizar Bouguila
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-03-01
Serier:	Sensors
Fag:	interpretable machine learning decision tree interpretability electricity load profiling clustering algorithms cluster validation indices (CVIs) data characteristics
Online adgang:	https://www.mdpi.com/1424-8220/25/7/2026
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