Optimization for integrated control of building, human, and HVAC system based on the soft computing

The purpose of this research is the optimization of the integrated control of building, human and HVAC system. Project included comprehensively the VR and HDR technique, dynamic odor-bottle method, and desiccant HVAC on subject tests. The neural network-applied approximation method was proposed for the simulation model of the multi-split type AC system. The abstraction of scheduler and HVAC devices was suggested to stimulate the open-sourcing of programs and the reclamation of source code.