Work

Data-driven Approaches for Anomaly Detection in Low-Voltage Grid Net Power

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863001

Authors: Razieh Balouchi Anaraki, Rajkumar Palaniappan, Ulf Häger, Christian Rehtanz

Institution: TU Dortmund University

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

Open Access status: closed

Funder: Projektträger Jülich

OpenAlex ID: W4407361754

FWCI:

Cites: 10

Cited by:

Related to: 10