Hourly Solar Radiation Forecast Based on k-NN Nonparametric Regression Model

Meng Qin Yang; Xiao Ying Wang

doi:10.4028/www.scientific.net/AMM.571-572.217

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572Hourly Solar Radiation Forecast Based on k-NN...

Hourly Solar Radiation Forecast Based on k-NN Nonparametric Regression Model

Abstract:

It is hard to accurately predict solar radiation due to its very prominent nonlinear feature, so four major models based on the k-NN model, which have time, sunshine hours, temperature, wind speed and humidity as input data, are presented in the paper for hourly solar radiation forecasting. The models forecasting instantaneous solar radiation values in the Xining region have been created through experiments carried out in Qinghai University. The accuracy of the optimum model is up to 88.7% on average and 97.01% at most on the premise and the allowed absolute percentage error is lower than 20%.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

217-222

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.217

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Online since:

June 2014

Authors:

Meng Qin Yang*, Xiao Ying Wang

Keywords:

Hourly Forecasting, k-NN, Solar Radiation

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* - Corresponding Author

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