Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model

<p dir="ltr">The integration of digital technologies into traditional power systems has increased the efficiency and sustainability of power grids, transforming traditional grids into smart grids. However, this transformation has also introduced new vulnerabilities, such as susceptib...

Full description

Saved in:
Bibliographic Details
Main Author: Ahmad N. Alkuwari (22392226) (author)
Other Authors: Saif Al-Kuwari (16904610) (author), Abdullatif Albaseer (16904607) (author), Marwa Qaraqe (10135172) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Cybersecurity and privacy
Anomaly detection
energy consumption
energy theft detection
operational technology
smart grid
Smart grids
Long short term memory
Energy consumption
Smart meters
Analytical models
Data models
Logic gates
Electricity
Accuracy
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items