ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY SYSTEMS MODELLING AND PREDICTION

摘要

The possibility of developing a machine that would “think” has intrigued human beings since ancient times.rnArtificial intelligence (AI) systems comprise two major areas, expert systems (ES) and artificial neuralrnnetworks (ANNs). The major objective of this paper is to illustrate how artificial intelligence techniques mightrnplay an important role in modelling and prediction of the performance of renewable energy systems. The paperrnoutlines an understanding of how expert systems and neural networks operate by way of presenting a numberrnof problems in the different disciplines of renewable energy engineering. The various applications of expertrnsystems and neural networks are presented in a thematic rather than a chronological or any other order. Resultsrnpresented in this paper, are testimony to the potential of artificial intelligence as a design tool in many areas ofrnrenewable energy engineering.