Power grid safety monitoring system based on machine learning algorithms

Key Points

• The aim is to create a reliable safety monitoring system for power grids utilizing machine learning algorithms.
• Developed machine learning algorithms for safety monitoring.
• Evaluated system performance in real-time settings.
• Integrated data analysis for predictive maintenance.
• Demonstrated improved safety detection rates.
• Reduced false alarm occurrences in monitoring systems.
• Enhanced operational reliability of power grids.

Abstract