Comparison of supervised learning techniques for non-technical loss detection in power utility
Non technical losses (NTLs) originating from electricity theft and other customer malfeasances are a problem in the electricity supply industry. In recent times, electricity consumer dishonesty has become a universal problem faced by all power utilities. Previous work carried out for NTL detection r...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
| Published: |
2017
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| Online Access: | International Review on Computers and Software Volume 7, Issue 2, 2012, Pages 626-636 |