Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems
This study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. When all essential information is provided, conventional sizing methods may be a feasible alternative. It is impossi...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2022/3437364 |
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| author | Radhey Shyam Meena Anoop Singh Shilpa Urhekar null RohitBhakar Neeraj Kumar Garg Mohammad Israr D. P. Kothari C. Chiranjeevi Prasath Srinivasan |
| author_facet | Radhey Shyam Meena Anoop Singh Shilpa Urhekar null RohitBhakar Neeraj Kumar Garg Mohammad Israr D. P. Kothari C. Chiranjeevi Prasath Srinivasan |
| author_sort | Radhey Shyam Meena |
| collection | DOAJ |
| description | This study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. When all essential information is provided, conventional sizing methods may be a feasible alternative. It is impossible to apply typical procedures in instances where data is unavailable. The new suggested artificial intelligence model employing multilayered perceptrons is employed for sizing solar systems, and this model functions on current photovoltaic modules that incorporate hybrid-sizing models; so, they should not be rejected entirely. In this work, the convergence speed of the proposed model for single diode, two diodes, and three diodes are the comparison factors to estimate the performance of the proposed model. |
| format | Article |
| id | doaj-art-6cb485c26e344c0291641ca796033809 |
| institution | Kabale University |
| issn | 1687-529X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-6cb485c26e344c0291641ca7960338092025-02-03T01:20:06ZengWileyInternational Journal of Photoenergy1687-529X2022-01-01202210.1155/2022/3437364Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy SystemsRadhey Shyam Meena0Anoop Singh1Shilpa Urhekar2null RohitBhakar3Neeraj Kumar Garg4Mohammad Israr5D. P. Kothari6C. Chiranjeevi7Prasath Srinivasan8Ministry of New and Renewable EnergyDepartment of Industrial & Management EngineeringUniversity of Petroleum and Energy StudiesDepartment of Electrical Engineering/Centre for EnergyDepartment of Electrical EngineeringMaryam Abacha American University of NigeriaVNITSchool of Mechanical EngineeringDepartment of Mechanical EngineeringThis study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. When all essential information is provided, conventional sizing methods may be a feasible alternative. It is impossible to apply typical procedures in instances where data is unavailable. The new suggested artificial intelligence model employing multilayered perceptrons is employed for sizing solar systems, and this model functions on current photovoltaic modules that incorporate hybrid-sizing models; so, they should not be rejected entirely. In this work, the convergence speed of the proposed model for single diode, two diodes, and three diodes are the comparison factors to estimate the performance of the proposed model.http://dx.doi.org/10.1155/2022/3437364 |
| spellingShingle | Radhey Shyam Meena Anoop Singh Shilpa Urhekar null RohitBhakar Neeraj Kumar Garg Mohammad Israr D. P. Kothari C. Chiranjeevi Prasath Srinivasan Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems International Journal of Photoenergy |
| title | Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems |
| title_full | Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems |
| title_fullStr | Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems |
| title_full_unstemmed | Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems |
| title_short | Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems |
| title_sort | artificial intelligence based deep learning model for the performance enhancement of photovoltaic panels in solar energy systems |
| url | http://dx.doi.org/10.1155/2022/3437364 |
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