Código QR (código de barras bidimensional)

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...

Fuld beskrivelse

Na minha lista:
Principais autores: Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Access
Fag:
Classification
conventional meters
electricity theft
machine learning
support vector machine
Online adgang:https://ieeexplore.ieee.org/document/10840176/
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker