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

Date
2015-11-23
Authors
Ahmad, A
Anderson, T
Lie, TT
Supervisor
Item type
Conference Contribution
Degree name
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Volume Title
Publisher
The Meteorological Society of New Zealand
Abstract

Building 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.

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Source
Meteorological Society of New Zealand 2015 Annual Conference held at Sunset Motel, Raglan, 2015-11-23 to 2015-11-25
DOI
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