The Role of Artificial Intelligence in Smart Renewable Energy Systems

Abstract

Artificial intelligence (AI) has become a cornerstone technology in modern power engineering, especially in the context of renewable energy integration. This paper investigates how AI algorithms can optimize renewable energy forecasting, demand response, and system stability. The adoption of AI-powered predictive analytics enhances solar irradiance forecasting, wind speed prediction, and load estimation, thereby reducing the operational uncertainty associated with renewable sources. Additionally, AI facilitates the autonomous operation of microgrids and distributed energy resources (DERs), ensuring that energy supply matches real-time demand with minimal human intervention. Smart meters, IoT sensors, and cloud-based data platforms collectively provide AI systems with the information needed for adaptive control and self-healing grid mechanisms. The research presented demonstrates that AI-driven smart power systems can accelerate the transition towards a reliable and sustainable renewable energy future.

KEYWORDS: Artificial Intelligence, Renewable Forecasting, Smart Meters, Microgrids, Distributed Energy Resources