Artificial Intelligence in Renewable Energy Systems Modelling and Prediction
Date Issued
2002
Author(s)
Abstract
The possibility of developing a machine that would “think” has intrigued human beings since ancient times.
Artificial intelligence (AI) systems comprise two major areas, expert systems (ES) 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 renewable 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 renewable 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
renewable energy engineering.
Artificial intelligence (AI) systems comprise two major areas, expert systems (ES) 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 renewable 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 renewable 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
renewable energy engineering.
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