Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68100
Título: | Decision intelligence in street lighting management |
Autor(es): | Nunes, Diogo Teixeira, Daniel Carneiro, Davide Rua Sousa, Cristóvão Novais, Paulo |
Palavras-chave: | Energy management Intelligent system Smart cities |
Data: | 2020 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | 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%. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/68100 |
ISBN: | 9783030456900 |
DOI: | 10.1007/978-3-030-45691-7_47 |
ISSN: | 2194-5357 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-030-45691-7_47 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Decision intelligence in street lighting management.pdf | 1,04 MB | Adobe PDF | Ver/Abrir |