As a result of the comprehensive development of new energy, the indicators used to assess the level of new energy development in a region involve a variety of aspects. The relatively redundant and complex data indicators and various factors with different impact scopes make it difficult to give an intuitive overall quantitative level of new energy development in a region, and the non-uniform evaluation indicators make the results obtained from different provinces or regions no longer comparable. Based on the principal component analysis method, this paper establishes a set of general and unified new energy development level indicator evaluation system for all provinces from quantitative analysis to qualitative analysis, which can intuitively and quickly evaluate the indicators and overall development level of major provinces or regions in a comprehensive way, thereby providing methods and practical basis for analyzing the distribution and laws of new energy development across the country.
Currently, the policy of energy system transformation represents a national strategy. For the development of the renewable energy industry, utility subsidies are required, and the forecast subsidy allocation amount continues to be an extremely important issue. Under this guide, we use a multiple linear regression algorithm to simulate and calculate the undetermined coefficients for wind power, photovoltaic power, capacity of biomass power projects, amounts of on-grid electricity, subsidy period, and the amount allocated by the governments as independent variables, respectively; and the amount to be allocated in the next year as the result. For example, the undetermined coefficients for wind power we calculated are -0.7579, 0.0747, 0.9664, 0.9134, and 47.863, respectively. We then put these undetermined coefficients into multiple linear regression, and obtain a new model for calculating energy subsidies of various types. The results indicate that multiple linear regression plays a significant role in the application of subsidy prediction, and provides a more reliable method for enterprises to estimate the number of subsidies allocated.
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