Intelligent system for lighting control in smart cities
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...
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| Veröffentlicht in: | Information sciences 2016-12, Vol.372, p.241-255 |
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| container_title | Information sciences |
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| creator | De Paz, Juan F. Bajo, Javier Rodríguez, Sara Villarrubia, Gabriel Corchado, Juan M. |
| description | 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. |
| doi_str_mv | 10.1016/j.ins.2016.08.045 |
| format | Article |
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| ispartof | Information sciences, 2016-12, Vol.372, p.241-255 |
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| source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
| subjects | Analysis of variance Architecture (computers) Artificial intelligence Autonomous control Distributed systems Illumination Intelligent systems Learning theory Light sensors Lighting Management Neural networks Street lighting |
| title | Intelligent system for lighting control in smart cities |
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