IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?

Nuno Seca, Fernando Moreira

Abstract

Efficiency of public lighting management is getting relevant. Due to costs reduction “obligation” some entities have been falling in the temptation of power off street lighting. Once that this procedure puts in risk people and goods’ security and considering that there are many lighting flux reduction solutions on the market it will be proposed a new approach. It was developed a prototype to allow managing of public lighting in an integrated way and based on Artificial Intelligence. Major goal is to achieve a higher level in which operational simplification can be made with significant cost reduction and operative optimization. Besides that, proposed approach, recurring to information systems’ supported on neural networks and functional layers can be used on this particular domain contributing to benefit public lighting systems in a remarkable way concerning profitability return of investment and operationality.

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Paper Citation


in Harvard Style

Seca N. and Moreira F. (2013). IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management? . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 513-518. DOI: 10.5220/0004554205130518


in Bibtex Style

@conference{iceis13,
author={Nuno Seca and Fernando Moreira},
title={IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={513-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004554205130518},
isbn={978-989-8565-59-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?
SN - 978-989-8565-59-4
AU - Seca N.
AU - Moreira F.
PY - 2013
SP - 513
EP - 518
DO - 10.5220/0004554205130518