Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Predictive Control of Enterprise Energy Management System

Authors
Nan Li, Jinsheng Qi
Corresponding Author
Nan Li
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.89How to use a DOI?
Keywords
Energy Management System; Predictive; Neural Network.
Abstract
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.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.89How to use a DOI?
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
PB  - Atlantis Press
SP  - 562
EP  - 565
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  -