Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering

Research On Intelligent Low Carbon Urban Lighting System

Authors
Tao Wang, Zhanhua Zan, Zhenlong Yang, Jinlong Zhu, Longfei Ma, Yapeng Hu, Xinchao Zhao
Corresponding Author
Tao Wang
Available Online December 2015.
DOI
https://doi.org/10.2991/isesce-15.2015.82How to use a DOI?
Keywords
Intelligent low carbon lighting system Lighting System Data Fusion Fuzzy Control Neural Network
Abstract
Smart low-carbon city as a rapidly developing field is the most investment value of the new project in the 21st century.In this paper, we propose an intelligent low carbon urban lighting system using fuzzy control and neural network control algorithm, it can realize intelligent, low carbonization and human nature of urban .
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 International Symposium on Energy Science and Chemical Engineering
Part of series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-140-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/isesce-15.2015.82How 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  - Tao Wang
AU  - Zhanhua Zan
AU  - Zhenlong Yang
AU  - Jinlong Zhu
AU  - Longfei Ma
AU  - Yapeng Hu
AU  - Xinchao Zhao
PY  - 2015/12
DA  - 2015/12
TI  - Research On Intelligent Low Carbon Urban Lighting System
BT  - 2015 International Symposium on Energy Science and Chemical Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/isesce-15.2015.82
DO  - https://doi.org/10.2991/isesce-15.2015.82
ID  - Wang2015/12
ER  -