Performance evaluation of selected machine learning techniques in the detection of non-technical losses in the distribution system
Author:
Affiliation:
1. University of Johannesburg,Department of Electrical and Electronic Engineering,Johannesburg,South Africa
2. University of Johannesburg,Department of Mathematics and Applied Mathematics,Johannesburg,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445003/10445004/10445037.pdf?arnumber=10445037
Reference22 articles.
1. Solutions for detection of non-technical losses in the electricity grid: A review
2. Electricity theft detection using smart meter data
3. The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey
4. NTL detection of electricity theft and abnormalities for large power consumers In TNB Malaysia
5. $96 Billion is Lost Every Year to Electricity Theft,2017
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