Abstract
The choice of a renewable energy production system, in each specific case, should be based on the calculations and measurements carried out. It is necessary to use theoretical and empirical methods for the preliminary calculation of the energy received. The purpose of this study was to demonstrate the operation of a solar collector in winter under Almaty winter conditions. The purpose of the scientific research was to obtain information for subsequent empirical calculations of the efficiency of the system. The coolant temperature was measured directly, directly in the installation elements. Based on the results of the study, it became obvious that in winter at the specified latitude, just one solar water heater is not enough. A methodology for assessing and measuring heater performance indicators is proposed. The results apply to machine learning.