Artificial Intelligence in Solar Energy Applications
Date Issued
December 2001
Author(s)
Abstract
Artificial intelligence (AI) systems comprise two major areas, expert systems
and artificial neural networks (ANNs). The major objective of this paper is to illustrate how
artificial intelligence techniques might play an important role in modelling and prediction of the
performance of solar energy systems. The paper outlines an understanding of how expert
systems and neural networks operate by way of presenting a number of problems in the different
disciplines of solar energy engineering. The various applications of expert systems and neural
networks are presented in a thematic rather than a chronological or any other order. Results
presented in this paper, are testimony to the potential of artificial intelligence as a design tool in
many areas of solar energy engineering.
and artificial neural networks (ANNs). The major objective of this paper is to illustrate how
artificial intelligence techniques might play an important role in modelling and prediction of the
performance of solar energy systems. The paper outlines an understanding of how expert
systems and neural networks operate by way of presenting a number of problems in the different
disciplines of solar energy engineering. The various applications of expert systems and neural
networks are presented in a thematic rather than a chronological or any other order. Results
presented in this paper, are testimony to the potential of artificial intelligence as a design tool in
many areas of solar energy engineering.
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