Research on the System of Intelligent Optimization of Energy Based on Support Vector Machine

Abstract:

This paper aimed at the confusing situation of industrial enterprises on the energy management. The author presented the optimization scheme based on the support vector machine to manager the energy consumption. Firstly, according to the historical data, using support vector machine method , energy consumption used in production was accurately predicted, secondly, The author established an optimal control strategy through the feedback correction and rolling optimization method, repeatedly correcting parameters, and supposing a optimum parameter algorithm to obtain the optimal production process, energy scheduling and emergency plan . at the same time ,it can control energy efficiency and cost. and achieves the goal of reducing energy consumption.

• Periodical: Advanced Materials Research (Volumes 869-870)
• Pages: 432-436
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.869-870.432
• Online since: December 2013
• Authors: Guo Cheng Niu, Dong Mei Hu, Jing Bai, Hai Wei Wu
• Keywords: Dynamic Prediction, Energy Optimization Strategy, Feedback Correction, Support Vector Machine (SVM)

References

[1] GERSHWIN S B: Proceedings of the IEEE . Vol. 77-1(1989), pp.195-209.

[2] BOUKAS E K, LIU Z K： Automatic . Vol. 37(2001)，pp.401-408.

[3] SONG C Y, GAO C H, WANG H： Proceedings of the American Control Conference. Vol. 94(2002)，pp.5043-5048. In Chinese.

[4] RISHEL R ： Transactions on Automatic Control . Vol. 1(1975)，pp.241-244. In Chinese.

[5] YAN H, ZHANG Q ： Transactions on Automatic Control . Vol. 42(1997)，pp.1452-1455. In Chinese.

[6] ZHANG Ju, LI Ping： Journal of Zhejiang University. Engineering Science. Vol. 37-2(2003)， pp.139-143. In Chinese.