Title: Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review

Authors: Adel Mellit

Addresses: Department of LMD/Electronics, Faculty of Sciences Engineering, LAMEL Laboratory, Jijel University, P.O. Box 98 Ouled Aissa, Jijel, 18000, Algeria

Abstract: Artificial Intelligence (AI) has been used and applied in different sectors, such as engineering, economic, medicine, military, marine, etc. AI has also been applied for modelling, identification, optimisation, prediction, forecasting, and control of complex systems. The main objective of this paper is to present an overview of AI techniques for modelling, prediction and forecasting of solar radiation data. Published literature works presented in this paper show the potential of AI as a design tool for prediction and forecasting of solar radiation data; additionally, they present the advantages of using AI-based prediction solar radiation data in isolated areas where there no instrument for the measurement of this data, especially the parameters related to photovoltaic (PV) systems. Solar radiation plays a very important factor in PV-system performance and sizing.

Keywords: AI; artificial intelligence; neural networks; fuzzy logic; GAs; genetic algorithms; hybrid systems; VHDL; FPGA; solar radiation modelling; solar radiation prediction; solar radiation forecasting; photovoltaic systems.

DOI: 10.1504/IJAISC.2008.021264

International Journal of Artificial Intelligence and Soft Computing, 2008 Vol.1 No.1, pp.52 - 76

Published online: 14 Nov 2008 *

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