An Efficient boosted C5.0 decision-tree-based classification approach for detecting non-technical losses in power utilities

• Main Authors: Saeed, Muhammad Salman, Mustafa, Mohd. Wazir, Ullah Sheikh, Usman, Ahmed Jumani, Touqeer, Khan, Ilyas, Atawneh, Samer, Hamadneh, Nawaf N.
• Format: Article
• Language: English
• Published: MDPI AG 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/90888/1/MohdWazirMustafa2020_AnEfficientBoostedC5.0DecisionTreeBasedClassification.pdf; http://eprints.utm.my/id/eprint/90888/; http://dx.doi.org/10.3390/en13123242
• Institution: Universiti Teknologi Malaysia

Electricity fraud in billing are the primary concerns for Distribution System Operators (DSO). It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs around the world, especially in underdeveloped countries, still utilize conventional time consuming and in...