Journal
INFORMATION SCIENCES
Volume 372, Issue -, Pages 241-255Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.08.045
Keywords
Light sensors; Intelligent systems; Distributed systems; Autonomous control; Street lighting
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Funding
- project Sociedades Humano-Agente en entornos Cloud Computing (Soha+C) [SA213U13]
- Junta Castilla y Leon funds
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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. (C) 2016 Elsevier Inc. All rights reserved.
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