[PDF][PDF] RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids.
F Mohammad, S Al-Ahmadi… - Computers, Materials & …, 2024 - cdn.techscience.cn
Electricity theft is a widespread non-technical issue that has a negative impact on both
power grids and electricity users. It hinders the economic growth of utility companies, poses …
power grids and electricity users. It hinders the economic growth of utility companies, poses …
Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection
Energy providers and the power grid are severely harmed by electricity theft, which also
causes economic and non-technical losses. Energy theft causes a decline in power quality …
causes economic and non-technical losses. Energy theft causes a decline in power quality …
Detection and confirmation of electricity thefts in Advanced Metering Infrastructure by Long Short-Term Memory and fuzzy inference system models
AO Otuoze, MW Mustafa, U Sultana, EA Abiodun… - Nigerian Journal of …, 2024 - ajol.info
The successful implementation of Smart Grids heavily relies on energy efficiency,
particularly through the Advanced Metering Infrastructure (AMI) and Smart Electricity Meters …
particularly through the Advanced Metering Infrastructure (AMI) and Smart Electricity Meters …
[PDF][PDF] Electrical Network Fraud Detection Using a CNN+ LSTM Model
RA Gomez, FA Llaugel - researchgate.net
This work focuses on the persistent problem of energy loss in the Dominican Republic and
in Latin America, with an emphasis on non-technical losses caused by electricity fraud …
in Latin America, with an emphasis on non-technical losses caused by electricity fraud …
[引用][C] Sare Neuronalen ikasketa analisia eta proposatutako hobekuntzak.
A Teso Fernández de Betoño - 2024