Author(s)

Jianli Jiao

Corresponding Author

Jianli Jiao

Abstract

The power load forecasting model based on intelligent optimization algorithm is based on the theory of mathematical optimization technology as a reference for design, and it is also applied to the intelligent algorithm technology and modeling technology in the field of intelligent learning of robots. We hope to improve the performance of the power load forecasting model effectively by optimizing the prediction model parameters through a series of intelligent algorithms. At present, there are three common power load forecasting models. This paper mainly discusses the construction process of power load forecasting model of firefly intelligent optimization algorithm based on evolution theory.

Keywords

Power Load Forecasting Model, Firefly Intelligent Optimization Algorithm, Multi-Level Granularity, Simulation Experiment