A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries

A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries

According to statistics, developing countries all over the world have suffered significant non-technical losses (NTLs) both in natural gas and electricity distribution. NTLs are thought of as energy that is consumed but not billed e.g., theft, meter tampering, meter reversing, etc. The adaptation of...

Full description

Bibliographic Details
Main Authors: Ammar Yousaf Kharal, Hassan Abdullah Khalid, Adel Gastli, Josep M. Guerrero
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
data analytics
fraudulent consumer identification framework
machine learning
multivariate gaussian distribution
non-technical losses
Online Access:https://ieeexplore.ieee.org/document/9445072/

Internet

https://ieeexplore.ieee.org/document/9445072/

Similar Items