Stochastic prediction of hourly global solar radiation for Patra, Greece
S. Kaplanis and
E. Kaplani
Applied Energy, 2010, vol. 87, issue 12, 3748-3758
Abstract:
This paper describes the stochastic prediction of the hourly profile of the intensity of the global solar radiation, I(h;Â nj) for any day nj at a site. The prediction model requires one, two, or three morning measurements of the global solar radiation in a day nj, makes use of a rich data bank of past years recorded data, and provides I(h;Â nj) values for the rest hours of the day. The model is validated by comparing the I(h;Â nj) profiles generated for Patra, Greece, with the solar radiation measurements recorded for Winter, Autumn and Spring days, when solar radiation fluctuations often appear to be strong, while also comparing with the predicted by the METEONORM package I(h;Â nj) profile. Conclusions are deducted for the predictive power of the model. The proposed model, which is developed in MATLAB for the purpose of this research, provides I(h;Â nj) profile predictions very close to the measured values and offers itself as a promising tool for a predictive on-line daily load management.
Keywords: Stochastic; simulation; Hourly; and; daily; solar; radiation; prediction (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306-2619(10)00220-5
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:87:y:2010:i:12:p:3748-3758
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().