Research on Dynamic Analysis and Prediction System of Energy Economic Efficiency under Fusion Algebraic Equations

Abstract

Energy is an important material basis for national economic development, and it plays a vital role in social development. As China's industrialization process and urbanization construction continues to accelerate, energy demand is also increasing, and the dependence on electricity is getting higher and higher. How to improve the electric energy efficiency under the guarantee of stable quality of power generation, transmission and distribution and meeting the requirements of users' electricity consumption is an important issue to be solved in the current power grid construction. However, the serious defects of the traditional binary hierarchy and the lack of scientific understanding have led to many current new problems with more and more new and complex features. This is accompanied by the emergence of a large number of nonlinear term coefficients and an increasing research workload, and the traditional linear programming methods cannot meet the practical needs. Therefore, this paper analyzes the eigenvalues of energy economic efficiency based on algebraic equations and predicts energy economic efficiency using EMD-BP neural network algorithm, and then carries out the design and research of economic energy system based on these two points.