Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches

Deqing Zhai, Yeng Chai Soh

In this study, a novel application of neural networks that predict thermal comfort states of occupants is proposed with accuracy over 95%, and two optimization algorithms are propo…