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Machine Learning-Based Anomaly Detection in Residential Electricity Usage Patterns Using Meter Data - Case Study (Msunduzi Municipality)

Year: 2024

Type: conference-paper

Source: IEEE PES/IAS PowerAfrica Conference (PowerAfrica)

DOI: 10.1109/powerafrica61624.2024.10759457

Authors: Cyncol Akani Sibiya, Kingsley A. Ogudo, Ereola J. Aladesanmi

Institution: University of Johannesburg

Language: English

Topic: Electricity Theft Detection Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406201787

FWCI: 0.779

Cites:

Cited by: 1

Related to: 10