Predictive Control of Enterprise Energy Management System
Nan Li, Jinsheng Qi
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.89How to use a DOI?
- Energy Management System; Predictive; Neural Network.
- Industries and large-scale public building are one of the main power Energy consumers in China, where they consume about 70% of all the energy in the country. Different types of industrial processing techniques, equipment, product types, ways of energy management can have different influences on energy consumption. This paper suggests using BP Neural Network to scientifically predict business energy consumption, and models and analyzes consumption amount, enable the business energy manager to predict business energy consumption trend, advise business producing, fixing, and balancing, thus guarantee a balance between energy supply and demand.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Nan Li AU - Jinsheng Qi PY - 2019/04 DA - 2019/04 TI - Predictive Control of Enterprise Energy Management System BT - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.89 DO - https://doi.org/10.2991/icmeit-19.2019.89 ID - Li2019/04 ER -