**4. Conclusion**

This chapter investigates the application of AI solutions in optimizing airside performance while maintaining thermal comfort in the office. Pilot tests were conducted to examine the impact of proactive AI control on resolving common thermal comfort issues in the office, such as overcooling and undercooling. The demonstration testbed was implemented in one of the Singapore Institute of Technology floors, located at Dover, Singapore. The tests were conducted in baseline mode (conventional BMS control) and smart mode (proactive AI control). The results highlight that the proactive AI control solution provides not only the improvement of energy consumption but also an enhancement in thermal comfort by eliminating cold spots and hotspots in the office. Furthermore, it also highlights that the improvement on the airside also contributes to the reduction of electricity consumption of the fans, resulting in minimizing the waste energy as compared to the baseline control system, while cooling required in the offices is also optimized.
