Simulation of Performance of Air Conditioning System using Multi-nets Artificial Neural Networks (MN-ANN)

Usually, the air conditioning systems have to be compelled to maintain temperature among an exact fascinating vary. Specially, the temperature distribution isn't spatially uniform. Having sensors put in at mounted and restricted locations cannot react to the quickly variable space conditions thanks to transient and non-stationary human behavior. This paper has a tendency to use Multi-nets Artificial Neural Networks (MN-ANN) to work out and conclude the precise or close to cooling needed for the space, supported the amount of person's gift within the space. So, with the help of typical temperature range of persons within the space, we'll able to conclude what quantity temperature we've to present to cooling or heating the space. The operation is uncontrolled and should be manually turned on and off. Typically it will cause high usage of electricity that successively raises the electricity bill once the user forgot to change it off. So in order to avoid such problems automatic controlling of air conditioning systems can be used. In this paper, the simulation of performance of air conditioning systems using MN-ANN is performed. The simulation is done using Matlab R2018a.