Thesis Abstract

This project aims to explore the design, implementation, and optimization of building automation and control systems (BACS) for enhancing energy efficiency, occupant comfort, and overall building performance. The project will investigate the integration of sensors, actuators, controllers, and communication networks to automate various building systems such as HVAC, lighting, security, and fire safety. The research will also focus on the development of intelligent algorithms and machine learning techniques to enable predictive control and adaptive optimization of building operations.

Thesis Overview