Analysis of LED Light Source Energy Consumption for Lighting System Optimized by BP Neural Network Based on Genetic Algorithm

De Qiang Wei; Hu Cheng Chen; Jun Wei Lu

doi:10.4028/www.scientific.net/AMR.945-949.2509

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Analysis of LED Light Source Energy Consumption...

Analysis of LED Light Source Energy Consumption for Lighting System Optimized by BP Neural Network Based on Genetic Algorithm

Abstract:

To study influence of LED light source lifetime on electricity consumption, optimization of BP neural network is adopted to establish analysis model of energy consumption for neural network, regarding environmental illumination, LED working face illumination, attenuation rates of LED lifetime as input parameters and PWM as output parameters. Under future lifetime of LED, energy consumption is predicted through the model. Results show BP neural network based on genetic algorithm can calculate energy consumption of LED light source quickly and accuracy of prediction is high. The method can be well used to predict energy consumption of short-time LED.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

2509-2514

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.2509

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Online since:

June 2014

Authors:

De Qiang Wei*, Hu Cheng Chen, Jun Wei Lu

Keywords:

Energy Consumption Prediction, Forecasting Algorithm, LED Light Source, Neural Network (NN)

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* - Corresponding Author

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