Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Business Tariff Customers From PT PLN (Persero) Indonesia

Electricity theft remains a significant challenge for PT PLN (Persero), Indonesia’s primary electricity provider, serving over 89 million customers as of 2023. The study focuses on industrial and business tariff customers, using a dataset from 2019 to 2023, which includes monthly consumption...

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Автори:	Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2025-01-01
Серія:	IEEE Access
Предмети:	Classification conventional meters electricity theft machine learning support vector machine
Онлайн доступ:	https://ieeexplore.ieee.org/document/10840176/
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