Nontechnical loss detection for metered customers in power utility using support vector machines

Nontechnical loss detection for metered customers in power utility using support vector machines

Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents a new approach towards nontechnical loss (NTL) detection in power utilities...

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Bibliographic Details
Main Authors: Nagi J., Yap K.S., Tiong S.K., Ahmed S.K., Mohamad M.
Other Authors: 25825455100
Format: Article
Published: 2023
Subjects:
Electricity theft
Intelligent system
Load profiling
Nontechnical loss
Pattern classification
Customer satisfaction
Electric load forecasting
Feature extraction
Gears
Inspection
Intelligent systems
Multilayer neural networks
Sales
Support vector machines
Abnormal behavior
Customer consumption data
Customer load profiles
Distribution sector
Electricity consumers
Electricity-consumption
Fraud detection
Fraud detection system
Highly-correlated
Malaysia
Model testing
New approaches
Non-technical loss
On-site inspection
Power utility
Research areas
Research studies
Crime
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