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)

Electricity theft remains a significant challenge for PT PLN (Persero), Indonesia’s primary electricity provider, serving over 89 million customers as of 2023 [1]. The study focuses on industrial and business tariff customers, using a dataset from 2019 to 2023, which includes monthly consumption...

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主要作者: Arisona, Galih
格式: Theses
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/86675
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機構: Institut Teknologi Bandung
語言: Indonesia