Curve fitting methods for solar radiation data modeling

Journal Article · Fri Oct 24 00:00:00 EDT 2014 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.4898499· OSTI ID:22308067

Karim, Samsul Ariffin Abdul, E-mail: [e-mail], E-mail: [e-mail]; Singh, Balbir Singh Mahinder, E-mail: [e-mail], E-mail: [e-mail] ^[1]

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1. Department of Fundamental and Applied Sciences, Faculty of Sciences and Information Technology, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan (Malaysia)

This paper studies the use of several type of curve fitting method to smooth the global solar radiation data. After the data have been fitted by using curve fitting method, the mathematical model of global solar radiation will be developed. The error measurement was calculated by using goodness-fit statistics such as root mean square error (RMSE) and the value of R{sup 2}. The best fitting methods will be used as a starting point for the construction of mathematical modeling of solar radiation received in Universiti Teknologi PETRONAS (UTP) Malaysia. Numerical results indicated that Gaussian fitting and sine fitting (both with two terms) gives better results as compare with the other fitting methods.

• OSTI ID: 22308067
• Journal Information: AIP Conference Proceedings, Vol. 1621, Issue 1; Conference: ICSAS 2014: 3. international conference on fundamental and applied sciences: Innovative research in applied sciences for a sustainable future, Kuala Lumpur (Malaysia), 3-5 Jun 2014; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
COMPARATIVE EVALUATIONS
COMPUTERIZED SIMULATION
DIAGRAMS
ECONOMICS
ERRORS
MALAYSIA
MATHEMATICAL MODELS
NUMERICAL ANALYSIS
SOLAR RADIATION