Work

Fraud and Anomaly Detection in Electricity Usage Patterns Using BiLSTM

Year: 2025

Type: conference-paper

Source: International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)

DOI: 10.1109/icadeis65852.2025.10933399

Authors: Agus Haryadi, Syukron Abu Ishaq Alfarozi, Azkario Rizky Pratama

Institution: Universitas Gadjah Mada

Language: English

Topic: Electricity Theft Detection Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Peace, justice, and strong institutions, Climate action

Open Access status: closed

OpenAlex ID: W4408862858

FWCI:

Cites: 14

Cited by:

Related to: 10