Year: 2025
Type: article
Abstract: Artificial intelligence (AI) represents a transformative modern technology for renewable energy systems because it optimizes resource integration and energy storage and demand-side management. This article studies artificial intelligence systems and their contributions to improve renewable energy infrastructure efficiency and reliability and sustainability. The article explains AI-driven methods for forecasting energy output and enabling best placement strategies for renewable resources as well as enhancing energy storage capabilities. This paper evaluates the application of AI in demand-side management while demonstrating how it affects dynamic pricing and demand response systems. Through three specific energy system projects including Tesla's Powerpack and the Brooklyn Microgrid and Google's DeepMind researchers demonstrate how AI brings revolutionary changes to the field. The analysis proves that AI technology will produce substantial operational enhancements while reducing expenses alongside boosting grid reliability thus enabling sustainable energy development.
Institution: Covenant University
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7125612349