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The expediency of using several sources of information on climate factors for estimating the potential of wind and solar energy is substantiated. Specific features of the methodology and developed software for estimating the generation of energy by wind power plants based on weather stations open access data are considered. The possibility of taking into account the results of aerodynamic modeling of the flow of the terrain by the wind flow is realized. The methodology is implemented in the form of a computer program called Wind-MCA. It includes a module for analyzing wind power potential, a module for analyzing wind turbines, an economic analysis module, and a multi-criteria analysis module. Specific features of the methodology and developed software for estimating the generation of energy by solar power plants based on data on the transparency of the atmosphere, temperature and cloudiness are considered. The technique is implemented in the form of a computer program called Sun-MCA. The estimation of the wind energy and solar energy potential of several settlements in the central zone of the Baikal region is carried out taking into account the climate change in the region.

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This paper advances the multi-attribute value theory to take into account the uncertainty of the decisionmaker's preferences with respect to the value of assessments and importance of attributes. It considers the basic steps of the original method of multi-attribute value theory against the modified one. The modified method can use the decisionmaker's responses as fuzzy triangular numbers to construct single-attribute value functions and to find the scaling coefficients. The paper presents an approach to finding fuzzy scaling coefficients by comparing paired matches and generating a system of linear equations with fuzzy coefficients. It is proposed to solve the system of equations by representing it as a set of systems of interval equations derived by splitting fuzzy sets by α levels. Multi-attribute fuzzy assessment of alternatives is carried out by solving linear programming problems based on systems of equations pertaining to individual α levels. The paper provides an example of using the modified method for multi-attribute comparison of alternatives.