Optimizing Energy Usage in Hospitals and Medical Centers with AI/ML: Ensuring Continuous Critical Operations while Reducing Costs and Carbon Footprint

Hospitals and medical centers are energy-intensive facilities that require uninterrupted services.This paper explores the application of Artificial Intelligence (AI) and Machine Learning (ML) to predict energy demands based on patient occupancy, equipment usage, and external factors like weather conditions.The AI/ML system optimizes energy distribution without compromising critical operations.The study demonstrates significant reductions in operational costs and carbon footprints, supported by a detailed experiment and deployment architecture.The results are visualized using various plots and a deployment architecture diagram, offering a clear understanding of how AI/ML can enhance sustainability in healthcare environments.