Integrating Artificial Intelligence in Hospital Energy Management: Toward Sustainable and Intelligent Healthcare Facilities

Abstract

Hospitals belong to the number of the most energy-demanding facilities that need constant and uninterrupted power to maintain operations of vital medical facilities. Conventional energy management approaches tend not to suffice in providing efficiency, sustainability and resilience in these diverse environments. The paper suggests an artificial intelligence (AI)-based model of hospital energy management, which will streamline the use of resources, minimize work expenses, and minimize environmental impact and avoid a break in the delivery of healthcare. The framework incorporates the use of predictive load forecasting, anomaly detection algorithms as well as intelligent control algorithms into the current energy management systems to improve adaptability and performance. The analysis using simulation shows that AI can potentially lead to drastic energy savings and carbon emission, as well as enhance reliability and operability flexibility. This study offers a roadmap to sustainable, resilient and intelligent healthcare facilities by connecting healthcare sustainability objectives with the state-of-the-art system intelligence of the power system.