Solar panels simulation data generated using LTSpice under different operating conditions
This paper presents a detailed description of the circuit simulation data obtained using LTspice, a high-performance SPICE simulation software for easing the simulation of solar panel circuit data. The data represents the photovoltaic modules with different configurations and cells placed in series...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922007880 |
| _version_ | 1828123040030916608 |
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| author | Kanika Sood Nathaniel Ruppert Rakeshkumar Mahto |
| author_facet | Kanika Sood Nathaniel Ruppert Rakeshkumar Mahto |
| author_sort | Kanika Sood |
| collection | DOAJ |
| description | This paper presents a detailed description of the circuit simulation data obtained using LTspice, a high-performance SPICE simulation software for easing the simulation of solar panel circuit data. The data represents the photovoltaic modules with different configurations and cells placed in series and parallel. The data are obtained from automated Python creation and simulation of PV cells in specified formats. The collected data are then organized in a CSV (Comma Separated Value) file. Each file contains properties of the photovoltaic cell, such as individual cell voltage, current, and others. The data are then used to evaluate each of the photovoltaic modules of an array. |
| first_indexed | 2024-04-11T14:45:32Z |
| format | Article |
| id | doaj.art-eda9d09923c54a3095abbb93e42a4960 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-11T14:45:32Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-eda9d09923c54a3095abbb93e42a49602022-12-22T04:17:40ZengElsevierData in Brief2352-34092022-12-0145108581Solar panels simulation data generated using LTSpice under different operating conditionsKanika Sood0Nathaniel Ruppert1Rakeshkumar Mahto2Department of Computer Science, California State University, Fullerton, CA 92831, United StatesDepartment of Electrical and Computer Engineering, California State University, Fullerton, CA 92831, United StatesDepartment of Electrical and Computer Engineering, California State University, Fullerton, CA 92831, United States; Corresponding author.This paper presents a detailed description of the circuit simulation data obtained using LTspice, a high-performance SPICE simulation software for easing the simulation of solar panel circuit data. The data represents the photovoltaic modules with different configurations and cells placed in series and parallel. The data are obtained from automated Python creation and simulation of PV cells in specified formats. The collected data are then organized in a CSV (Comma Separated Value) file. Each file contains properties of the photovoltaic cell, such as individual cell voltage, current, and others. The data are then used to evaluate each of the photovoltaic modules of an array.http://www.sciencedirect.com/science/article/pii/S2352340922007880PhotovoltaicsSpiceMachine learningArtificial IntelligenceRenewable Energy |
| spellingShingle | Kanika Sood Nathaniel Ruppert Rakeshkumar Mahto Solar panels simulation data generated using LTSpice under different operating conditions Data in Brief Photovoltaics Spice Machine learning Artificial Intelligence Renewable Energy |
| title | Solar panels simulation data generated using LTSpice under different operating conditions |
| title_full | Solar panels simulation data generated using LTSpice under different operating conditions |
| title_fullStr | Solar panels simulation data generated using LTSpice under different operating conditions |
| title_full_unstemmed | Solar panels simulation data generated using LTSpice under different operating conditions |
| title_short | Solar panels simulation data generated using LTSpice under different operating conditions |
| title_sort | solar panels simulation data generated using ltspice under different operating conditions |
| topic | Photovoltaics Spice Machine learning Artificial Intelligence Renewable Energy |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922007880 |
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