Adaptive Street Lighting Predictive Control

Francesco Marino, Fabio Leccese, Stefano Pizzuti

Research output: Contribution to conferencePaper

23 Citations (Scopus)

Abstract

In this paper an implementation of a smart predictive monitoring and adaptive control system for the public lighting have been carried out. The vehicular traffic flow acquired using a smart camera has been analyzed and several predictive methods have been studied. Then, a control strategy based on the given traffic forecasts and on the dynamical street class downgrade allowed by the law, has been implemented. Experimental results provided by a real life testbed showed that the proposed strategy has high potential energy savings without affecting safety.
Original languageEnglish
DOIs
Publication statusPublished - 1 Mar 2017
Externally publishedYes
Event8th International Conference on Sustainability in Energy and Buildings, SEB 2016 - Turin, Italy
Duration: 1 Mar 2017 → …

Conference

Conference8th International Conference on Sustainability in Energy and Buildings, SEB 2016
CountryItaly
CityTurin
Period1/3/17 → …

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All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Marino, F., Leccese, F., & Pizzuti, S. (2017). Adaptive Street Lighting Predictive Control. Paper presented at 8th International Conference on Sustainability in Energy and Buildings, SEB 2016, Turin, Italy. https://doi.org/10.1016/j.egypro.2017.03.241