Excel Based Tool for Global Solar Radiation Forecasting Using Artificial Neural Network Models

Simple item page
aut.researcherAnderson, Timothy
dc.contributor.authorAhmad, Aen_NZ
dc.contributor.authorAnderson, Ten_NZ
dc.contributor.authorLie, TTen_NZ
dc.date.accessioned2016-11-14T22:32:17Z
dc.date.available2016-11-14T22:32:17Z
dc.date.copyright2015-11-23en_NZ
dc.date.issued2015-11-23en_NZ
dc.description.abstractBuilding reliable solar energy systems regardless of whether the system is a photovoltaic or thermal solar energy system requires information about global solar irradiation (sum of direct and diffuse solar radiation projected on a plane (Wh m−2)) in the region where the system is sited. This can be achieved using various solar irradiation estimation techniques particularly for locations where there are no metrological station. Various studies have shown that artificial neural network techniques predict solar irradiation more accurately than conventional methods.en_NZ
dc.identifier.citationMeteorological Society of New Zealand 2015 Annual Conference held at Sunset Motel, Raglan, 2015-11-23 to 2015-11-25en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/10159
dc.publisherThe Meteorological Society of New Zealand
dc.relation.urihttp://www.metsoc.org.nz/conferenceen_NZ
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.titleExcel Based Tool for Global Solar Radiation Forecasting Using Artificial Neural Network Modelsen_NZ
dc.typeConference Contribution
pubs.elements-id193191
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Engineering
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ahmad_NZ_Met_Soc2015.pdf
Size:
398.03 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
RE4.10 Grant of Licence.docx
Size:
14.05 KB
Format:
Microsoft Word 2007+
Description:
Download
Collections
School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau