Research on potential user identification model for electric energy substitution

[摘要] The implementation of energy substitution plays an important role in promoting the development of energy conservation and emission reduction in China. Energy service management platform of alternative energy users based on the data in the enterprise production value, product output, coal and other energy consumption as a potential evaluation index, using principal component analysis model to simplify the formation of characteristic index, comprehensive index contains the original variables, and using fuzzy clustering model for the same industry user's flexible classification. The comprehensive index number and user clustering classification based on constructed particle optimization neural network classification model based on the user, user can replace electric potential prediction. The results of an example show that the model can effectively predict the potential of users' energy potential.

[发布机构] Beijing China-power Information Technology Co. Ltd., Beijing, China^1;State Grid Hebei Electric Power Company, Hebei, China^2;China Electric Power Reserrch Institute, Beijing, China^3

[效力级别] 材料科学

[关键词] Characteristic indices;Comprehensive indices;Energy conservation and emission reductions;Enterprise production;Fuzzy clustering modeling;Neural network classification;Particle optimization;Potential evaluation