An estimation of solar radiation using robust linear regression method

S. Ibrahim; I. Daut; Y. M. Irwan; M. Irwanto; N. Gomesh; A. R.N. Razliana

doi:10.1016/j.egypro.2012.05.157

An estimation of solar radiation using robust linear regression method

S. Ibrahim
, I. Daut
, Y. M. Irwan^*
, M. Irwanto
, N. Gomesh
, A. R.N. Razliana

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

4 Citations (Scopus)

Abstract

The air temperature data is the most important component to estimate the solar radiation in photovoltaic systems. From the Malaysia Meteorological Department, the data of air temperature and solar radiation can be found the hourly, daily, monthly and also the annually. Based on solar radiation data for the past 26 years, the average monthly solar radiation was 5009.56 Wh/m2. It was greater than the normal solar radiation (3 kWh/m2), which indicates that the sky in Perlis was clear and very high solar radiation intensity for the months in the past 26 years. This paper presents an investigation of a relationship between solar radiation and temperature in Perlis, Northern Malaysia for the year of 2006. The Least Trimmed Squares (LTS) robust regression model was selected to estimate the solar radiation since the robust method is do not breakdown easily and are not much influenced by outliers.

Original language	English
Title of host publication	Terragreen 2012
Subtitle of host publication	Clean Energy Solutions for Sustainable Environment, CESSE 2012
Publisher	Elsevier B.V.
Pages	1413-1420
Number of pages	8
ISBN (Print)	9781627484275
DOIs	https://doi.org/10.1016/j.egypro.2012.05.157
Publication status	Published - 2012
Externally published	Yes
Event	Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012 - Beirut, Lebanon Duration: 16 Feb 2012 → 18 Feb 2012

Publication series

Name	Energy Procedia
Volume	18
ISSN (Print)	1876-6102

Conference

Conference	Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012
Country/Territory	Lebanon
City	Beirut
Period	16/02/12 → 18/02/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Air temperature
Robust method
Solar radiation
Statistical analysis

Access to Document

10.1016/j.egypro.2012.05.157

Cite this

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title = "An estimation of solar radiation using robust linear regression method",

abstract = "The air temperature data is the most important component to estimate the solar radiation in photovoltaic systems. From the Malaysia Meteorological Department, the data of air temperature and solar radiation can be found the hourly, daily, monthly and also the annually. Based on solar radiation data for the past 26 years, the average monthly solar radiation was 5009.56 Wh/m2. It was greater than the normal solar radiation (3 kWh/m2), which indicates that the sky in Perlis was clear and very high solar radiation intensity for the months in the past 26 years. This paper presents an investigation of a relationship between solar radiation and temperature in Perlis, Northern Malaysia for the year of 2006. The Least Trimmed Squares (LTS) robust regression model was selected to estimate the solar radiation since the robust method is do not breakdown easily and are not much influenced by outliers.",

keywords = "Air temperature, Robust method, Solar radiation, Statistical analysis",

author = "S. Ibrahim and I. Daut and Irwan, \{Y. M.\} and M. Irwanto and N. Gomesh and Razliana, \{A. R.N.\}",

year = "2012",

doi = "10.1016/j.egypro.2012.05.157",

language = "English",

isbn = "9781627484275",

series = "Energy Procedia",

publisher = "Elsevier B.V.",

pages = "1413--1420",

booktitle = "Terragreen 2012",

note = "Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012 ; Conference date: 16-02-2012 Through 18-02-2012",

}

Ibrahim, S, Daut, I, Irwan, YM, Irwanto, M, Gomesh, N & Razliana, ARN 2012, An estimation of solar radiation using robust linear regression method. in Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012. Energy Procedia, vol. 18, Elsevier B.V., pp. 1413-1420, Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012, Beirut, Lebanon, 16/02/12. https://doi.org/10.1016/j.egypro.2012.05.157

TY - GEN

T1 - An estimation of solar radiation using robust linear regression method

AU - Ibrahim, S.

AU - Daut, I.

AU - Irwan, Y. M.

AU - Irwanto, M.

AU - Gomesh, N.

AU - Razliana, A. R.N.

PY - 2012

Y1 - 2012

N2 - The air temperature data is the most important component to estimate the solar radiation in photovoltaic systems. From the Malaysia Meteorological Department, the data of air temperature and solar radiation can be found the hourly, daily, monthly and also the annually. Based on solar radiation data for the past 26 years, the average monthly solar radiation was 5009.56 Wh/m2. It was greater than the normal solar radiation (3 kWh/m2), which indicates that the sky in Perlis was clear and very high solar radiation intensity for the months in the past 26 years. This paper presents an investigation of a relationship between solar radiation and temperature in Perlis, Northern Malaysia for the year of 2006. The Least Trimmed Squares (LTS) robust regression model was selected to estimate the solar radiation since the robust method is do not breakdown easily and are not much influenced by outliers.

AB - The air temperature data is the most important component to estimate the solar radiation in photovoltaic systems. From the Malaysia Meteorological Department, the data of air temperature and solar radiation can be found the hourly, daily, monthly and also the annually. Based on solar radiation data for the past 26 years, the average monthly solar radiation was 5009.56 Wh/m2. It was greater than the normal solar radiation (3 kWh/m2), which indicates that the sky in Perlis was clear and very high solar radiation intensity for the months in the past 26 years. This paper presents an investigation of a relationship between solar radiation and temperature in Perlis, Northern Malaysia for the year of 2006. The Least Trimmed Squares (LTS) robust regression model was selected to estimate the solar radiation since the robust method is do not breakdown easily and are not much influenced by outliers.

KW - Air temperature

KW - Robust method

KW - Solar radiation

KW - Statistical analysis

UR - https://www.scopus.com/pages/publications/84893785059

U2 - 10.1016/j.egypro.2012.05.157

DO - 10.1016/j.egypro.2012.05.157

M3 - Conference Proceeding

AN - SCOPUS:84893785059

SN - 9781627484275

T3 - Energy Procedia

SP - 1413

EP - 1420

BT - Terragreen 2012

PB - Elsevier B.V.

T2 - Terragreen 2012: Clean Energy Solutions for Sustainable Environment, CESSE 2012

Y2 - 16 February 2012 through 18 February 2012

ER -

An estimation of solar radiation using robust linear regression method

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this