This article describes usage of Artificial Neural Network (ANN) for choice of Heating, Ventilation and Air Conditioning (HVAC) system for city electro transport passengers’ interior. Neural Network is trained to analyze the parameters of the system and detect the possibility of its usage in the specific task. There are system criteria formalized in the article. Defining of consumer’s priorities and temperature control system parameters provides an optimal choice of HVAC system, taking in account effective energy consumption problem. HVAC system choosing criteria and procedure for air condition system choice are formalized in the article.