Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand

Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand

Abstract To address the challenges of increasing electricity demand and diverse consumption behavior, this study explored an adaptive K-means clustering approach for segmenting 24-h load profiles from 627 distributed substations of the Provincial Electricity Authority (PEA) in Thailand. Euclidean di...

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Main Authors: Temsiri Prompook, Sorawut Jittanon, Kandanai Phumeesut, Chakkrit Termritthikun, Nipon Ketjoy, Wisut Chamsa-ard, Noppakun Meesuk, Chakphed Madtharad, Tawat Suriwong
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Electricity management strategies
Electricity infrastructure planning
Electricity consumption
Clustering validity index
Euclidean
Cosine
Online Access:https://doi.org/10.1038/s41598-025-07475-8
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https://doi.org/10.1038/s41598-025-07475-8

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