Title :
The Analysis of Industrial Power Consumption Structure in Jilin Province
Author :
Du, Qiushi ; Lv, Xiangyu ; Qin, Huifang
Author_Institution :
Electr. Power Res. Inst., Jilin Electr. Power Co..Ltd., Changchun, China
Abstract :
Power supply and industrial growth are closely related, along with the development of industrial sectors and the diversification of power consumption structure. Effective and rational grasp of current power demand structure is conducive to stable power supply. In this paper, we build the evaluation index system of industrial power consumption structure in allusion to the structural characteristics of it in Jilin Province and combined with the actual situation, then proposed the structure evaluation model of industrial power consumption based on PSO (Particle Swarm Optimization) and support vector machine algorithms. In addition, we collect the industrial power consumption data in recent 60 months of Jilin Province to do empirical analysis, and testify that the method has high accuracy. The results show that the model works well, and the method are practical and feasible.
Keywords :
electricity supply industry; particle swarm optimisation; power engineering computing; support vector machines; Jilin province; PSO; evaluation index system; industrial growth; industrial power consumption structure; industrial sector development; particle swarm optimization; power demand structure; power supply; support vector machine algorithms; Business; Distributed computing; Educational institutions; Electronic mail; Power demand; PSO; SVM (support vector machines); power consumption structure;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.70