Modeling of the output current of a photovoltaic grid-connected system using random forests technique
This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model. Three statistical error values, namely root mean s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2018-01-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/0144598717723648 |
| _version_ | 1818935311641608192 |
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| author | Ibrahim A Ibrahim Tamer Khatib Azah Mohamed Wilfried Elmenreich |
| author_facet | Ibrahim A Ibrahim Tamer Khatib Azah Mohamed Wilfried Elmenreich |
| author_sort | Ibrahim A Ibrahim |
| collection | DOAJ |
| description | This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model. Three statistical error values, namely root mean square error, mean bias error, and mean absolute percentage error, are used to evaluate the developed model. Moreover, the results of the proposed technique are compared with results obtained from an artificial neural network-based model to show the superiority of the proposed method. Results show that the proposed model accurately predicts the output current of the system. The root mean square error, mean absolute percentage error, and mean bias error values of the proposed method are 2.7482, 8.7151, and −2.5772%, respectively. Moreover, the proposed model is faster than the artificial neural network-based model by 0.0801 s. |
| first_indexed | 2024-12-20T05:18:09Z |
| format | Article |
| id | doaj.art-9818f77d65f245f18d0bc2fef16922ff |
| institution | Directory Open Access Journal |
| issn | 0144-5987 2048-4054 |
| language | English |
| last_indexed | 2024-12-20T05:18:09Z |
| publishDate | 2018-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Energy Exploration & Exploitation |
| spelling | doaj.art-9818f77d65f245f18d0bc2fef16922ff2022-12-21T19:52:07ZengSAGE PublishingEnergy Exploration & Exploitation0144-59872048-40542018-01-013610.1177/0144598717723648Modeling of the output current of a photovoltaic grid-connected system using random forests techniqueIbrahim A Ibrahim0Tamer Khatib1Azah Mohamed2Wilfried Elmenreich3Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, MalaysiaEnergy Engineering and Environment Department, An-Najah National University, Nablus, PalestineDepartment of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, MalaysiaInstitute of Networked & Embedded Systems/Lakeside Labs, Alpen-Adria-Universität Klagenfurt, Klagenfurt, AustriaThis study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model. Three statistical error values, namely root mean square error, mean bias error, and mean absolute percentage error, are used to evaluate the developed model. Moreover, the results of the proposed technique are compared with results obtained from an artificial neural network-based model to show the superiority of the proposed method. Results show that the proposed model accurately predicts the output current of the system. The root mean square error, mean absolute percentage error, and mean bias error values of the proposed method are 2.7482, 8.7151, and −2.5772%, respectively. Moreover, the proposed model is faster than the artificial neural network-based model by 0.0801 s.https://doi.org/10.1177/0144598717723648 |
| spellingShingle | Ibrahim A Ibrahim Tamer Khatib Azah Mohamed Wilfried Elmenreich Modeling of the output current of a photovoltaic grid-connected system using random forests technique Energy Exploration & Exploitation |
| title | Modeling of the output current of a photovoltaic grid-connected system using random forests technique |
| title_full | Modeling of the output current of a photovoltaic grid-connected system using random forests technique |
| title_fullStr | Modeling of the output current of a photovoltaic grid-connected system using random forests technique |
| title_full_unstemmed | Modeling of the output current of a photovoltaic grid-connected system using random forests technique |
| title_short | Modeling of the output current of a photovoltaic grid-connected system using random forests technique |
| title_sort | modeling of the output current of a photovoltaic grid connected system using random forests technique |
| url | https://doi.org/10.1177/0144598717723648 |
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