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Prediction Model of Photo-Thermal Power Generation Based on G (1,1) Optimization

Author(s): Yuan WANG; Gaojia LI; Wenhao YUE

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Keywords: No keywords

Abstract: In this paper, the photo-thermal power generation model is obtained by studying the operation process of solar radiation , light and thermal power generation equipment. By solving the gray model parameters by particle swarm optimization, a prediction model of light and heat generation based on G (1,1) optimization is proposed. In the case of example analysis, the amount of electricity generated by the solar radiation in the past few years was based on the photo-thermal power generation model, and the light and thermal power generation prediction model is used to obtain the photo-thermal power generation in the next few years. Photo-thermal power generation will provide data support for the planning of photo-thermal power generation, and it will also verify the reasonableness of the prediction model.


Year: 2018

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