Artificial intelligence: the very idea
Artificial intelligence: the very idea
Artificial intelligence
Machine learning: an artificial intelligence approach volume III
Machine learning: an artificial intelligence approach volume III
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Microcomputer applications of hybrid intelligent systems
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Recurrent Neural Supervised Models for Generating Solar Radiation Synthetic Series
Journal of Intelligent and Robotic Systems
Fuzzy logic and meteorological variables: a case study of solar irradiance
Fuzzy Sets and Systems
Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Artificial Intelligence in Energy And Renewable Energy Systems
Artificial Intelligence in Energy And Renewable Energy Systems
Change in regime and transfer function models of global solar radiation in Kuwait
Environmental Modelling & Software
ANN-based GA for generating the sizing curve of stand-alone photovoltaic systems
Advances in Engineering Software
Expert Systems with Applications: An International Journal
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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.