کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8147082 1524118 2015 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of the solar radiation on the Earth using support vector regression technique
ترجمه فارسی عنوان
پیش بینی تابش خورشید در زمین با استفاده از تکنیک رگرسیون بردار پشتیبانی
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی
The solar rays on the surface of Earth is one of the major factor in water resources, environmental and agricultural modeling. The main environmental factors influencing plants growth are temperature, moisture, and solar radiation. Solar radiation is rarely obtained in weather stations; as a result, many empirical approaches have been applied to estimate it by using other parameters. In this study, a soft computing technique, named support vector regression (SVR) has been used to estimate the solar radiation. The data was collected from two synoptic stations with different climate conditions (Zahedan and Bojnurd) during the period of 5 and 7 years, respectively. These data contain sunshine hours, maximum temperature, minimum temperature, average relative humidity and daily solar radiation. In this study, the polynomial and radial basis functions (RBF) are applied as the SVR kernel function to estimate solar radiation. The performance of the proposed estimators is confirmed with the simulation results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 68, January 2015, Pages 179-185
نویسندگان
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