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

Autor: De Qiang Wei, Hu Cheng Chen, Jun Wei Lu
Rok vydání: 2014
Předmět:
Zdroj: Advanced Materials Research. :2509-2514
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.945-949.2509
Popis: 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.
Databáze: OpenAIRE