The prediction of cement energy demand based on support vector machine
Authors
Xin Zhang, Shaohong Jing
Corresponding Author
Xin Zhang
Available Online November 2015.
- DOI
- 10.2991/iccmcee-15.2015.220How to use a DOI?
- Keywords
- support vector regression, cement energy forecast.
- Abstract
Aiming at the energy waste problems resulting from the contradiction between energy demand and supply in cement production, an energy demand prediction model based on support vector regression is built. And energy consumption of a cement enterprises in Shanxi cement production line, for example, to validate the model simulations show that the model has good predictive results.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xin Zhang AU - Shaohong Jing PY - 2015/11 DA - 2015/11 TI - The prediction of cement energy demand based on support vector machine BT - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering PB - Atlantis Press SP - 1155 EP - 1160 SN - 2352-5401 UR - https://doi.org/10.2991/iccmcee-15.2015.220 DO - 10.2991/iccmcee-15.2015.220 ID - Zhang2015/11 ER -