Characterising Namibian residential load profile archetypes using Self-Organising Map (SOM) - based temporal segmentation and seasonal clustering

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Mollel, Rachel Stephen and Stankovic, Lina and Stankovic, Vladimir and Elombo, Andreas and Ileka, Helvi and Hambata, Jona; (2025) Characterising Namibian residential load profile archetypes using Self-Organising Map (SOM) - based temporal segmentation and seasonal clustering. In: 2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC). IEEE, NAM. ISBN 9798331525651 (https://doi.org/10.1109/ETNCC66224.2025.11299781)

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Abstract

This study investigates the fluidity of residential electricity demand profiles within Namibian households to assess their flexibility potential. Traditional profiling methods typically generate a single average load profile per household over a given period, overlooking the temporal and spatial variability inherent in energy consumption patterns. To address this gap, we employ a Self-Organising Map (SOM)-based approach to characterise typical Namibian residential load profiles (shape and magnitude), capturing intra-household behavioural diversity as well as spatial heterogeneity across households. The analysis reveals distinct seasonal patterns and notable differences between weekday and weekend consumption behaviour. These insights offer valuable implications for demand-side management strategies, assessing demand flexibility potential, and energy system optimisation, particularly in the context of emerging variable and decentralised energy resources.

ORCID iDs

Mollel, Rachel Stephen ORCID logoORCID: https://orcid.org/0000-0001-8591-9830, Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420, Elombo, Andreas, Ileka, Helvi and Hambata, Jona;
CORE (COnnecting REpositories)