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Intelligent system for lighting control in smart cities: Profile on PlumX
Título : Intelligent system for lighting control in smart cities
Autor(es) : de Paz Santana, Juan F.
Bajo Pérez, Javier
Rodríguez González, Sara
Villarrubia González, Gabriel
Corchado Rodríguez, Juan M.
Palabras clave : Computer Science
Fecha de publicación : 2016
Editor : ELSEVIER SCIENCE INC
Citación : Information Sciences. Volumen 372, pp. 241-255. ELSEVIER SCIENCE INC.
Resumen : This paper presents an adaptive architecture that centralizes the control of public lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA, and a Service Oriented Approach (SOA). It achieves optimization in terms of both energy consumption and cost by using a modular architecture, and is fully adaptable to current lighting systems. The architecture was successfully tested and validated and continues to be in development.
URI : http://hdl.handle.net/10366/134256
ISSN : 0020-0255
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