Smart street lighting management

S. Pizzuti, M. Annunziato, F. Moretti

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

In this work, we propose a new street lighting energy management system in order to reduce energy consumption. The key idea we want to accomplish is that of "energy on demand" meaning that energy, in this case light, is provided only when needed. In order to achieve this goal, it is critical to have a reliable demand model, which in the case of street lighting turns out to be a traffic flow rate forecasting model. In order to achieve this goal, several methods on the 1-h prediction have been compared and the one providing the best results is based on artificial neural networks. Moreover, several control strategies have been tested and the one which gave the best energy savings is the adaptive one we carried out. Experimentation has been carried out on real data and the study shows that with the proposed approach, it is possible to save up to 50 % of energy compared to no regulation systems. © 2013 Springer Science+Business Media Dordrecht.
Original languageEnglish
Pages (from-to)607 - 616
Number of pages10
JournalEnergy Efficiency
Volume6
Issue number3
DOIs
Publication statusPublished - Aug 2013
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Pizzuti, S., Annunziato, M., & Moretti, F. (2013). Smart street lighting management. Energy Efficiency, 6(3), 607 - 616. https://doi.org/10.1007/s12053-013-9195-9