Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/879
Title: Artificial Intelligence in Solar Energy Applications
Authors: Kalogirou, Soteris A. 
Keywords: Expert systems
Artificial Neural Networks (ANN)
Renewable energy applications
Issue Date: 2001
Source: Proceedings of the 25th National Renewable Energy Convection NREC’2001, Energy Security for India: Role for Renewables, Warangal, India, pp. 363-371
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.
Description: This paper is pblished in the 25th National Renewable Energy Convection NREC’2001, Energy Security for India: Role for Renewables, Warangal, India, pp. 363-371.
URI: http://ktisis.cut.ac.cy/handle/10488/879
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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