کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8114537 | 1522328 | 2016 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Estimation of the daily global solar radiation based on Box-Jenkins and ANN models: A combined approach
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
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![عکس صفحه اول مقاله: Estimation of the daily global solar radiation based on Box-Jenkins and ANN models: A combined approach Estimation of the daily global solar radiation based on Box-Jenkins and ANN models: A combined approach](/preview/png/8114537.png)
چکیده انگلیسی
In this paper, a new combined model coupling the linear autoregressive moving average (ARMA) model and the nonlinear artificial neural network (ANN) model has been proposed in order to estimate the daily global solar radiation. The main feature of this approach lies in the fact that has the strength to capture the advantages containing in both models. The combined method have been developed and tested using global solar radiation data recorded during two years (2012-2013) for two different climate sites in Algeria. The obtained results showed an improvement of the combined model over ARMA and ANN models in term of mean absolute error (MPE) of about 18.1% and 2.7%, for the first site, of about 27.26% and 1.39% for the second site. Moreover, compared to the ARMA and ANN models, a decrease in the RMSE values of about 17.1% and 3.59% compared to the ARMA and ANN models has been observed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable and Sustainable Energy Reviews - Volume 57, May 2016, Pages 238-249
Journal: Renewable and Sustainable Energy Reviews - Volume 57, May 2016, Pages 238-249
نویسندگان
Kacem Gairaa, Abdallah Khellaf, Youcef Messlem, Farouk Chellali,