The prediction of cement energy demand based on support vector machine

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/).

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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  -