Analysis of Artificial Neural Network Architectures for Modeling Smart Lighting Systems for Energy Savings

Analysis of Artificial Neural Network Architectures for Modeling Smart Lighting Systems for Energy Savings

Currently, population growth is global and tends to concentrate in large cities, which increases the demand for illuminating public spaces for safety, visual orientation, aesthetic considerations, and quality of life. The undesirable side effects are increase in energy consumption and light pollutio...

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Bibliographic Details
Main Authors: Alberto Garces-Jimenez, Jose Luis Castillo-Sequera, Antonio Del Corte-Valiente, Jose Manuel Gomez-Pulido, Esteban Patricio Dominguez Gonzalez-Seco
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Public lighting design
artificial neural networks
multilayer perceptron
data modeling
energy efficiency
uniformity ratio of luminance
Online Access:https://ieeexplore.ieee.org/document/8781776/

Internet

https://ieeexplore.ieee.org/document/8781776/

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