Enhancing the Security of Smart Grid using Neural Networks

Author(s)	Sanaboina Chandra Sekhar, Chavatapalli Siddardha
Country	India
Abstract	The primary goal of this initiative is to contend with the global issue theft of electricity concern, which has adverse effects on both electricity consumers and utility companies. This illegal activity interrupts the economic growth of utility companies, poses electric hazards, and leads to higher energy costs for users. To combat this problem, we aim to develop an effective approach to predict and detect theft of electricity from smart grids, using Artificial Neural Networks (ANN) as the core technology.
Keywords	Electricity Theft, Smart Grid, Artificial Neural Network, Deep Learning, Electricity Consumption
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-08-28
Cite This	Enhancing the Security of Smart Grid using Neural Networks - Sanaboina Chandra Sekhar, Chavatapalli Siddardha - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.5821
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.5821
Short DOI	https://doi.org/gsnrhq

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International Journal For Multidisciplinary Research