Optimization of additional heat production performance of air conditioning compressor based on hybrid particle swarm optimization algorithm

In this paper, for the current problem of temperature regulation and optimal energy consumption in the confined space of the factory, we use neural network algorithm and hybrid particle swarm algorithm combined with heat conduction equation to construct models such as LSTM neural network model and hybrid particle swarm optimization algorithm model, and use Matlab, Python and other software languages to solve the model, and derive the relationship between cooling scheme and temperature, and the adjustment scheme of compressor and fan when the power consumption is the lowest is shown below, and at the end of the paper, we combine the actual situation and give rationalization suggestions to the model.