The power grid is an essential infrastructure for social and economic development, and the development of the power grid has always been a matter of national importance. The steady and rapid development of the world economy in recent years, the rapid development of the economy has also brought the development of the electric power business. This paper establishes the evaluation indexes in the evaluation of grid investment efficiency, the relationship between the indexes and the impact on the final comprehensive post-evaluation, and proposes a comprehensive post-evaluation model based on the improved hierarchical analysis method (AHP) and support vector machine regression (SVR). The improved AHP method is utilized to determine the weights of each evaluation index in the comprehensive post-evaluation index system, and then the comprehensive evaluation is carried out by SVR to improve the accuracy of the evaluation results. By setting the model parameters and using the MSE, RMSE, and MAE assessment methods to evaluate the grid investment benefit assessment model of AHP-SVR, the MSE was 1.64%, the RMSE was 4.21%, and the MAE was 12%. The assessment model is used to predict and analyze the investment efficiency of the grid enterprise in October 20232023, and the results are in line with the actual situation, providing targeted optimization suggestions for the investment efficiency of the grid enterprise.
