1. A Machine Learning Approach to Detect Energy Fraud in Smart Distribution Network

Mahdi Emadaleslami; Mahmoud-Reza Haghifam

Volume 10, Issue 02 , Spring 2021, , Pages 59-66

Abstract
  Electricity utility have long sought to identify and reduce energy fraud as a significant part of non-technical losses (NTL). Generally, to determine customer’s honesty in consumption on-site inspection is vital. Since, inspecting all customers is expensive, utilities look for new ways to reduce ...  Read More