关键词: 电力用户, 能效分级, RBF神经网络

Abstract:

Energy efficiency grading is the base of energy efficiency evaluation,but there are many limitations of traditional methods.This paper presents an intelligent rating method by which the RBF neural network is applied to the efficiency assessment of the power user.And an energy efficiency rating model is established based on the RBF neural network saving the need for a particular explicit mathematical expression.The core of the model is the RBF neural network,which is trained using the Orthogonal Least Square algorithm,considering the energy efficiency,power quality pollution and economic efficiency.The trained system can quickly and effectively evaluate the grading standards of energy efficiency for power users,and propose the countermeasures.The example given in this paper shows that the RBF neural network model of energy efficiency assessment for power users is of high reliability,good applicability,and practical value.

Key words: power user;energy efficiency assessment;RBF neural network