A novel mathematical model for energy sharing based on synergetic neural network

摘要

Energy information services are an important task of resource sharing. As the basis and core of energy information services, the quality of user model is directly related to the quality of the intelligent personalized service. In this paper, we proposed an intelligent energy sharing model based on synergetic neural network. There are three main works. Firstly, the construction of user vector space and similarity measure are presented. Secondly, we introduce synergetic neural network model to user group recognition which can effectively identify users groups. Finally, we propose a parameter optimization algorithm based on artificial fish swarm algorithm. The experiment results show the proposed model in this paper has a higher performance for energy information sharing, and provide a good practicability and a promising future for other information sharing tasks.