Power Load Forecasting Model Based on Improved Parallel Fuzzy Kernel Clustering Algorithm

Objective: In order to build a more accurate and effective power load forecasting model, this paper analyzes it. Methods: Based on the improved parallel fuzzy kernel clustering algorithm, this paper expounds the advantages of the algorithm, the calculation process, and the modeling method and verifies the application effect of the algorithm. Results: The improved parallel fuzzy kernel clustering algorithm is successfully obtained through the analysis and is built by using the algorithm. The application of the model in the verification is effective, which shows that the idea of this topic has certain reference value. Conclusion: The improved parallel fuzzy kernel clustering algorithm has more advantages than the traditional clustering algorithm and has good performance in the actual work, which is worth considering.