Integrating Renewable Energy into Healthcare IT: A Cyber-Secure Approach

Abstract

This paper proposes a novel approach to optimize renewable energy systems by leveraging
artificial intelligence (AI) and cloud computing technologies. With the increasing adoption of
renewable energy sources, there is a growing need for efficient management and utilization of
these resources to maximize their economic benefits. Integrating AI algorithms allows for
predictive analytics, anomaly detection, and optimization of energy production and distribution
processes. Moreover, cloud computing offers scalable and cost-effective solutions for handling
large volumes of data generated by renewable energy systems. By combining AI and cloud
computing, this study aims to enhance energy economics by improving the efficiency, reliability,
and sustainability of renewable energy systems.