Dust impact on photovoltaic technologies: a comparative analysis using deep recurrent neural networks
Author:
Affiliation:
1. Faculty of Computing and IT, Sohar University, Sohar, Oman
2. Faculty of Engineering, Sohar University, Sohar, Oman
3. Research Development, Sohar University, Sohar, Oman
Funder
Ministry of Higher Education, Research and Innovation
Research Council of the Sultanate of Oman
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2024.2310740
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2. Classifying and diacritizing Arabic poems using deep recurrent neural networks
3. Selection of the best solar photovoltaic (PV) for Oman
4. The effect of the marble dust to the efficiency of photovoltaic panels efficiency by SVM;Adıgüzel E.;Energy Reports,2023
5. Experimental Study on the Effect of Dust Deposition on a Car Park Photovoltaic System with Different Cleaning Cycles
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