Decision intelligence in street lighting management

The European Union has been making efforts to increase energy efficiency within its member states, in line with most of the industrialized countries. In these efforts, the energy consumed by public lighting networks is a key target as it represents approximately 50% of the electricity consumption of...

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Bibliographic Details
Main Author: Nunes, Diogo (author)
Other Authors: Teixeira, Daniel (author), Carneiro, Davide Rua (author), Sousa, Cristóvão (author), Novais, Paulo (author)
Format: conferencePaper
Language:eng
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/1822/68100
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/68100
Description
Summary:The European Union has been making efforts to increase energy efficiency within its member states, in line with most of the industrialized countries. In these efforts, the energy consumed by public lighting networks is a key target as it represents approximately 50% of the electricity consumption of European cities. In this paper we propose an approach for the autonomous management of public lighting networks in which each luminary is managed individually and that takes into account both their individual characteristics as well as ambient data. The approach is compared against a traditional management scheme, leading to a reduction in energy consumption of 28%.