###### Abstract
According to the results of simulations in the MATLAB environment, the optimal annual average angle of inclination of the panel should be 27.92\({}^{\circ}\), while the value of the average monthly angle of inclination of the panels varies within rather wide limits of \(-\)2.5\({}^{\circ}\) to 60\({}^{\circ}\). At the same time, with the average monthly adjustment of the tilt angle of the panels, the highest energy generation took place in November, and was 79.4% of the nominal. During the annual adjustment of the tilt angle of the panels, the maximum produced power reached 199.09 W, which was 66.36% of the nominal capacity. A mathematical expression [28] was proposed for determining the average annual installation efficiency of a PV-module with different seasonal tilt angles, set at different geographical latitudes. According to calculations, at latitudes 0\({}^{\circ}\), 10\({}^{\circ}\), 20\({}^{\circ}\), 30\({}^{\circ}\), 40\({}^{\circ}\), 50\({}^{\circ}\) and 60\({}^{\circ}\), the PV-module setting angle for the winter period will be 14.8\({}^{\circ}\), 24.6\({}^{\circ}\), 34.5\({}^{\circ}\), 44.4\({}^{\circ}\), 54.1\({}^{\circ}\), 63.6\({}^{\circ}\) and 73\({}^{\circ}\), and for the summer it will be -4.6\({}^{\circ}\), -5\({}^{\circ}\), 15.1\({}^{\circ}\), 25.1\({}^{\circ}\), 34.9\({}^{\circ}\) and 44.7\({}^{\circ}\). At the same time, the difference in the average annual installation efficiencies of PV-modules installed at seasonal angles and PV-modules that track the position of the Sun in the vertical plane is 0.4%. The authors of the scientific works [29; 30; 31; 32] looked at various cases to study the monthly, seasonal and annual performance of a PV-module depending on the angle of inclination of the solar panels to the horizon. However, they all noted that the maximum energy production took place at values of the optimal angles of inclination of the PV-module panels slightly smaller than the values of the geographical latitude. The results of their research show that weather conditions, location and azimuth angles have a significant impact on energy production. Over the past three years, research has been conducted on determining the orientation in space and the parameters of PV-module installation using artificial intelligence. In particular, the work [33] investigated the use of artificial neural networks (ANN) with various machine learning algorithms for predicting the optimal angle of inclination of a solar power plant's panels installed at different latitudes in order to maximize the photovoltaic power in micro grids. The use of ANN allowed the more precise determination of the optimal value of the inclination angle of the solar panels towards the horizon under different conditions (latitude, climatic conditions, season, etc.) from 38.59% to 90.72%. The installation of solar panels with tilt angles suggested by ANN increased energy production by 34% compared to PV-modules with fixed installation angles. The authors of the study [34] proposed a model for optimizing the angle of inclination of PV-module solar panels using machine teaching algorithms. It is noted that considering the influence of various factors (dustiness level, weather conditions, aerosol level), the maximization of photovoltaic power was achieved. In work [35], the annual optimal tilt angle of PV-module panels with a fixed installation was calculated based on global horizontal radiation data collected from 2551 sites across the world. For this, the authors developed a mathematical model that involves the use of regression analysis and neural networks to calculate annual optimum angles as a function of latitude. However, during the day, a PV-module panel with a fixed angle of inclination to the horizon, or a single axis solar tracker, will receive less energy, since the angle of incidence of the Sun's rays during the movement of the Sun across the sky will increase [36].