A Novel Interpretable Model for Solar Radiation Prediction based on Adaptive Fuzzy Clustering and Linguistic Hedges-Reference-Cited by-同舟云学术

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A Novel Interpretable Model for Solar Radiation Prediction based on Adaptive Fuzzy Clustering and Linguistic Hedges

Published:2020-09-23 Issue: Volume: Page:
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Container-title:Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications
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Author:

Bahani Khalid¹,Ali-Ou-Salah Hamza²,Moujabbir Mohammed³,Oukarfi Benyounes²,Ramdani Mohammed¹

Affiliation:

1. Laboratory of computer science, Mohammedia, Hassan II University, Morocco

2. Laboratory of Physic of Condensed Matter & Renewable Energy, Mohammedia, Hassan II University, Morocco

3. Laboratory of computer science, Polydisciplinary, Sutan Moulay Slimane University, Morocco

Publisher

ACM

Reference19 articles.

1. Model selection for accurate daily global solar radiation prediction in China

2. Photovoltaic and solar forecasting: state of the art;Pelland S.;IEA PVPS, Task,2013

3. Estimation of solar radiation for use in crop modelling

4. E. Halawa A. GhaffarianHoseini and D. H. W. Li. Empirical correlations as a means for estimating monthly average daily global radiation: a critical overview. Renewable energy vol. 72 pp. 149--153 2014.DOI. https://doi.org/10.1016/j.renene.2014.07.004 E. Halawa A. GhaffarianHoseini and D. H. W. Li. Empirical correlations as a means for estimating monthly average daily global radiation: a critical overview. Renewable energy vol. 72 pp. 149--153 2014.DOI. https://doi.org/10.1016/j.renene.2014.07.004

5. A review of satellite methods to derive surface shortwave irradiance

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