AI-powered automation cuts energy use at super-specialty hospital

Hospitals are among the most energy-intensive buildings due to their continuous operation and strict environmental control requirements. Medical facilities require stable temperature conditions, high-quality ventilation systems, and specialised equipment that must operate around the clock. As a result, hospitals often consume significantly more energy per square meter than other commercial buildings.

Artificial Intelligence (AI) offers powerful tools for improving energy efficiency in healthcare facilities without compromising patient safety or comfort. AI-driven hospital energy management systems integrate data from building sensors, medical equipment, occupancy sensors, and environmental monitoring systems. By analysing this data, machine learning models can identify opportunities to optimise energy usage.

For additional context and detailed documentation of this use case, please refer to pages 53-55 in the attached Casebook.