Published December 1, 2002
| Version v1
Journal article
Statistical analysis of solar radiation data using cubic spline functions
Description
A cubic spline-type model has been developed to analyze the average daily total solar radiation data. This model has been found to perform significantly better than the other regression-type models. In this study, cubic spline functions have been used to analyze the solar radiation data of 5 years from 1994 to 1998 for zmir. The reliability of the model has also been tested with a statistical hypothesis. (author)
Additional details
Publishing Information
- Journal Title
- Energy Sources
- Journal Volume
- 24
- Journal Issue
- 12
- Journal Page Range
- p. 1131-1138
- ISSN
- 0090-8312
- CODEN
- EGYSAO
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United Kingdom
- INIS RN
- 37063094
- Subject category
- S14: SOLAR ENERGY;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- MATHEMATICAL MODELS; RESOURCE ASSESSMENT; SOLAR ENERGY; SOLAR RADIATION; STATISTICAL DATA
- Descriptors DEC
- DATA; ENERGY; ENERGY SOURCES; INFORMATION; NUMERICAL DATA; RADIATIONS; RENEWABLE ENERGY SOURCES; STELLAR RADIATION