Abstract
A field measurement on 5 familial and 3 single dwellings during summer Y2K leads to obtain both getting start probability of air conditioning system vs. indoor globe temperature and operating probability of air conditioning vs. outdoor temperature, which are deeply relevant to transition probabilities of the state Off-to-On and On-to-Off respectively. Getting these state transition probabilities is seemed to be a great first step to the way applying the Markov Model to ON/OFF state analysis for air conditioning system. But it is also significant to predict more precise schedule of air conditioning operation than conventional method, where both the schedule of air conditioning operation and inhabitants occupancy are dealt with wholly. Using obtained state transition probabilities allows you to discriminate real schedule of air conditioning operation from inhabitant occupancy schedule.
