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Indian Journal of Radio & Space Physics (IJRSP) >
IJRSP Vol.41 [2012] >
IJRSP Vol.41(1) [February 2012] >
| Title: | Robust regression technique to estimate the global radiation |
| Authors: | Sivamadhavi, V
Selvaraj, R Samuel |
| Keywords: | Global Solar Radiation
Linear Least Squares
Robust Regression
Robust Least Square (RLS)
Sunshine Duration |
| Issue Date: | Feb-2012 |
| Publisher: | NISCAIR-CSIR, India |
| PACS No.: | 92.60.Vb |
| Abstract: | In the present paper, the monthly mean daily
global radiation on a horizontal surface has been correlated with
meteorological parameters. Sunshine duration was proved to be the best
predictor. Overall and month-wise regression equations have been developed
using sunshine duration to estimate monthly mean daily global radiation on a
horizontal surface at Chennai,
India. For
this, data analysis was done for a period of twenty years from 1990 to 2009.
Overall regression coefficients for linear, quadratic and cubic polynomials
were determined using linear least squares and robust regression methods.
Robust method yielded a better set of values for the regression constants. The
second order polynomial equation has been found to be an optimum fit for global
radiation. Month-wise second order regression equations have been developed
using robust method. An excellent agreement has been found between the values
estimated from the proposed model and the measured values. |
| Page(s): | 17-25 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-105X (Online); 0367-8393 (Print) |
| Source: | IJRSP Vol.41(1) [February 2012]
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