The Application of Biomass Energy Analysis in Rural Energy Systems Based on a Linear Regression Model

With the development of energy economy, the use of biomass energy gradually into the public view, become more and more widely, the application of biomass energy greatly promoted the utilization of energy, this paper is based on the analysis of biomass energy data in Anhui province, through the linear regression model and time series model, analyzes the utilization of rural biomass energy in Anhui province and the future development prospects. First, this study defines the required model of X and Y variables, including X for total power generation, hydro power installed, thermal power, biomass power plant to total installed, power plant, installed, capacity, fuel consumption eight variables, Y for time, model of data needed from China association for the promotion of industrial development of biomass energy industry branch, with reliability and availability. This study makes a multiple linear regression model. The R-squared value of the regression model was 0.84, indicating a good model fit and a strong predictive power of the independent variables for the dependent variables. While the Prob> F value is 0.0784, indicating that the model is significant at a significance level of 0.1. According to the results, the biomass energy potential and all aspects of the benefits of Anhui Province are comprehensively analyzed.