Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944766 | Information Sciences | 2016 | 28 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Juan F. De Paz, Javier Bajo, Sara RodrÃguez, Gabriel Villarrubia, Juan M. Corchado,