While solving the renewable energy tasks, problems with the calculation of some statistical changes, important for the development of their structure and practical application may arise. The following factors are stochastic: - Energy reception (solar, wind, water resources, etc.) - Energy consumption (domestic, municipal and industrial areas) - Changes in ambient temperature. These factors have a wide range of time changes, periodic and random components. It is obvious that these groups of causes are correlated, the growth of the solar energy reception leads to the increase in temperature and illumination, which in turn reduces the need for heat and electricity consumption. In order to fulfill the detailed analysis of the connection between climatic factors, their influence on the efficiency of the existing renewable energy equipment in the UrFU, a high-speed multi-channel monitoring system for climate and energy characteristic has been developed and put into operation. The system includes a distributed network of local devices connected to the central server that collects, accumulates and processes data of more than 100 measured parameters gathered every second. Based on the long series of observations, the system allowed an assessment of renewable energy productivity in the conditions of variable ambient temperatures, typical for the region with extreme continental climate. Article is devoted to the development and experience of the use of a digital system to assess the performance characteristics of renewable energy plants. Extensive research capabilities are shown with a fast-acting system of digital monitoring, allowing to receive information with a frequency of 1 sec. The article describes the main types of renewable energy plants used in the training process, the concept and experience of the digital system for assessing the performance of renewable energy installations, and the results of studies of solar power plants in a climate of sharp-continental climate. The use of the system allowed, on the basis of an analysis of a long-term number of observations, to assess the performance of renewable energy plants for the conditions of variable ambient temperatures characteristic of the Urals. The results show the promise of using digital technologies in the study of processes and verification of theoretical models; allow to set goals on further improvement of the models of calculation and improvement of the design of renewable energy plants.