Adaptive Street Lighting Predictive Control. (March 2017)

• Record Type: Journal Article
• Authors: Marino, Francesco; Leccese, Fabio; Pizzuti, Stefano
• Is Part Of: Energy procedia. Volume 111(2017)
• Page Start: 790
• Page End: 799
• Publication Date: 2017-03
• Subjects: predictive algorythms -- public lighting -- Basic Ensembling Method -- Smart City; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.03.241
• Languages: English
• ISSNs: 1876-6102

Abstract

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.