A Comparison of Two Solar Radiation Models Using Artificial Neural Networks and Remote Sensing in Turkey

ISSN： 1556-7036

Source： Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol.35, Iss.3, 2013-02, pp. : 209-217

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Study for Estimating Solar Resources in Turkey Using Artificial Neural Networks

By SOZEN ADNAN

Energy Sources, Vol. 26, Iss. 14, 2004-12 ,pp. : 1369-1378

Taylor & Francis Ltd

Access to resources Recommend Favorite

Solar resource estimation using artificial neural networks and comparison with other correlation models

By Reddy K.S. Ranjan M.

Energy Conversion and Management, Vol. 44, Iss. 15, 2003-09 ,pp. : 2519-2530

Elsevier

Access to resources Recommend Favorite

Use of artificial neural networks for mapping of solar potential in Turkey

By Sozen A. Arcaklioglu E. Ozalp M. Kanit E.G.

Applied Energy, Vol. 77, Iss. 3, 2004-03 ,pp. : 273-286

Elsevier

Access to resources Recommend Favorite

Splitting Global Solar Radiation into Diffuse and Direct Normal Fractions Using Artificial Neural Networks

By Rehman S.

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 34, Iss. 14, 2012-05 ,pp. : 1326-1336

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparison of some existing models for estimating global solar radiation for Antalya (Turkey)

By Ertekin C. Yaldiz O.

Energy Conversion and Management, Vol. 41, Iss. 4, 2000-03 ,pp. : 311-330

Elsevier

Access to resources Recommend Favorite