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WorldCist'20 - 8th World Conference on Information Systems and Technologies

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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 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%.

Diogo Nunes
CIICESI/ESTG - Polytechnic Institute of Porto
Portugal

Daniel Teixeira
CIICESI/ESTG - Polytechnic Institute of Porto
Portugal

Davide Carneiro
CIICESI/ESTG - Polytechnic Institute of Porto
Portugal

Cristóvão Sousa
INESC-TEC Porto
Portugal

Paulo Novais
Algoritmi Centre/Department of Informatics, Universidade do Minho
Portugal

 


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