In this study, the meteorological parameters of weather station of University of Petroleum and Energy Studies (UPES), Dehradun, India, has been considered for solar radiation prediction models based on adaptive neuro fuzzy inference system (ANFIS) have been proposed considering different inputs on daily basis for the year 2015. There are different metrological variables considered for solar energy prediction. To check the different suitable input parameters and different outputs like global radiation prediction, direct radiation prediction and diffused radiation, three models have been proposed in this paper.
CITATION STYLE
Mohan, A., Kuchhal, P., & Sharma, M. G. (2017). Prediction models for global solar radiations, diffused radiations and direct solar radiations using ANFIS. In Advances in Intelligent Systems and Computing (Vol. 479, pp. 27–37). Springer Verlag. https://doi.org/10.1007/978-981-10-1708-7_4
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