Technical Paper"AI-Integrated Building Management Systems (BMS) for Optimized HVAC Control,"

Provides a comprehensive overview of how AI enhances traditional BMS. The document explains that by using AI to analyze historical data, real-time conditions, and weather forecasts, these systems can proactively adjust heating, ventilation, and air conditioning (HVAC). This predictive approach leads to significant energy savings, reduced operational costs, and improved occupant comfort compared to conventional, reactive controls. The paper highlights key principles such as predictive energy management, occupancy-aware optimization, and weather-adaptive control, and it supports its claims with research findings and real-world case studies from various commercial and industrial settings.

The paper demonstrates that AI-driven BMS is a practical and effective solution for achieving greater sustainability and efficiency in buildings.