Grid Distribution Fault Occurrence and Remedial Measures Prediction/Forecasting through Different Deep Learning Neural Networks by Using Real Time Data from Tabuk City Power Grid

Grid Distribution Fault Occurrence and Remedial Measures Prediction/Forecasting through Different Deep Learning Neural Networks by Using Real Time Data from Tabuk City Power Grid

Modern societies need a constant and stable electrical supply. After relying primarily on formal mathematical modeling from operations research, control theory, and numerical analysis, power systems analysis has changed its attention toward AI prediction/forecasting tools. AI techniques have helped...

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Bibliographic Details
Main Author: Fahad M. Almasoudi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
power systems
fault classification
deep learning
neural networks
Online Access:https://www.mdpi.com/1996-1073/16/3/1026

Internet

https://www.mdpi.com/1996-1073/16/3/1026

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