Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
A Pazderin, F Kamalov, PY Gubin, M Safaraliev… - Energies, 2023 - mdpi.com
Nontechnical losses of electrical energy (NTLEE) have been a persistent issue in both the
Russian and global electric power industries since the end of the 20th century. Every year …
Russian and global electric power industries since the end of the 20th century. Every year …
Assignment of AI Detected Buildings from Satellite Images to Registered Meters for Energy Theft Detection
AM Kaminski, FG Carloto… - 2024 IEEE Power & …, 2024 - ieeexplore.ieee.org
This paper proposes an innovative method to detect energy theft on electrical network. By
utilizing satellite imagery to analyze building rooftops and comparing them with registered …
utilizing satellite imagery to analyze building rooftops and comparing them with registered …
Tolerance-Based Demand-Side Management for Load Shifting in Rural Areas of Southern Brazil
HS Eichkoff, DP Bernardon, JA Bitencourt, VJ Garcia… - Energies, 2023 - mdpi.com
In the rural regions of southern Brazil, electricity is largely directed to irrigation activities on
rice crops at restricted periods of the year. Typically, customers in these regions are called …
rice crops at restricted periods of the year. Typically, customers in these regions are called …
Uma Metodologia Baseada em Inteligência Artificial para Detecção de Perdas Não Técnicas em Irrigantes
VG Vieira, RR Biazzi, DP Bernardon… - … de Automática-CBA, 2022 - sba.org.br
In electricity distribution networks, one of the challenges is to identify non-technical losses.
The challenge is even greater in rural distribution networks. These have large extensions …
The challenge is even greater in rural distribution networks. These have large extensions …