Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection
Author:
Publisher
Elsevier BV
Subject
Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems
Reference62 articles.
1. Detection of non-technical losses in power utilities—a comprehensive systematic review;Saeed;Energies,2020
2. Non-technical losses in power system: a review;Chauhan,2013
3. A security scheme for intelligent substation communications considering real-time performance;Zhang;J. Mod. Power Syst. Clean Energy,2019
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