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Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation
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A. E. Gürel Et Al. , "Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation," Journal of Cleaner Production , vol.277, 2020

Gürel, A. E. Et Al. 2020. Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation. Journal of Cleaner Production , vol.277 .

Gürel, A. E., Ağbulut, Ü., & Biçen, Y., (2020). Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation. Journal of Cleaner Production , vol.277.

Gürel, Ali, Ümit AĞBULUT, And Yunus Biçen. "Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation," Journal of Cleaner Production , vol.277, 2020

Gürel, Ali E. Et Al. "Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation." Journal of Cleaner Production , vol.277, 2020

Gürel, A. E. Ağbulut, Ü. And Biçen, Y. (2020) . "Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation." Journal of Cleaner Production , vol.277.

@article{article, author={Ali Etem Gürel Et Al. }, title={Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation}, journal={Journal of Cleaner Production}, year=2020}