Transformer-customer relationship identification under limited observability: a smart meter data-driven Gaussian mixture model approach

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Publication Details

Journal
International Journal of Energy Technology and Policy
Published
2026-07-23
DOI
https://doi.org/10.1504/ijetp.2027.10080156
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Transformer-customer relationship identification under limited observability: a smart meter data-driven Gaussian mixture model approach

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International Journal of Energy Technology and Policy
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Transformer-customer relationship identification under limited observability: a smart meter data-driven Gaussian mixture model approach

Kostas Soumalas, Mulin Han, Limin Yin, Dongbo Guo, Guanyu Yan, Ruifeng Li, Fengyue Zhao, Yinghua Sun
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Energy Technology and PolicyVol. 1(1)
Life in Land
Openalex Percentile: Top 5%
Customer churn and segmentation
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