The article is devoted to increasing energy saving and energy efficiency of public sector institutions by automation of the process of energy-saving measures fitting. A classifier based on an artificial neural network is proposed as a technology for selecting measures. The base numeric dataset was supplemented by categorical data on buildings and structures. The urgency of the ...