Detection of abnormalities and electricity theft using genetic support vector machines
Efficient methods for detecting electricity fraud has been an active research area in recent years. This paper presents a hybrid approach towards Non-Technical Loss (NTL) analysis for electric utilities using Genetic Algorithm (GA) and Support Vector Machine (SVM). The main motivation of this study...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | |
Published: |
2018
|
Online Access: | http://dspace.uniten.edu.my/jspui/handle/123456789/8929 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|