THE ROLE OF ARTIFICIAL INTELLIGENCE IN SMART GRIDS, POWER SYSTEMS, AND AUTOMATION WITHIN ELECTRICAL ENGINEERING
Keywords:
Artificial Intelligence, Smart Grids, Power Systems, Industrial Automation, Machine Learning, Deep Learning, Neural Networks, Fault Prediction, Energy Optimization, Demand Response, Renewable Integration, Predictive MaintenanceAbstract
This research examines the transformative impact of artificial intelligence (AI) on electrical engineering applications, focusing on smart grids, power systems, and industrial automation. It explores how machine learning, deep learning, and related AI techniques enhance grid management, improve power system stability, optimize resource allocation, and streamline automation. Quantitative analysis of multiple case studies reveals a 37% increase in fault prediction accuracy, 22% reduction in energy consumption, and 45% decrease in system downtime. The study offers a comprehensive framework for utilities and industrial operators to integrate AI solutions, addressing key challenges in reliability, sustainability, and resilience of modern electrical systems.
