MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||4|
|Section||Parallel Session I: Water Resources System|
|Published online||07 December 2018|
Prediction Model of Photo-thermal Power Generation Based on G (1,1) Optimization
Xi’an Aeronautical University, 710077 Xi’an, Shaanxi Province, China
a WANG Yuan: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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