Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network
Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with...
| Main Authors: | , , , , , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/8351 |
| _version_ | 1789406436209459200 |
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| author | Alamin, Yaser Imad Anaty, Mensah K. Álvarez Hervás, José Domingo Bouziane, Khalid Pérez García, Manuel Yaagoubi, Reda Castilla, María del Mar Belkasmi, Merouan Aggour, Mohammed |
| author_facet | Alamin, Yaser Imad Anaty, Mensah K. Álvarez Hervás, José Domingo Bouziane, Khalid Pérez García, Manuel Yaagoubi, Reda Castilla, María del Mar Belkasmi, Merouan Aggour, Mohammed |
| author_sort | Alamin, Yaser Imad |
| collection | DSpace |
| description | Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with the grid. In this paper, the development of a model to predict the energy of a High CPV (HCPV) system using an Artificial Neural Network (ANN) is described. This system is located at the University of Rabat. The performed experiments show a quick prediction with encouraging results for a very short-term prediction horizon, considering the small amount of data available. These conclusions are based on the processes of obtaining the ANN models and detailed discussion of the results, which have been validated using real data |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-8351 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-83512023-10-27T12:24:34Z Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network Alamin, Yaser Imad Anaty, Mensah K. Álvarez Hervás, José Domingo Bouziane, Khalid Pérez García, Manuel Yaagoubi, Reda Castilla, María del Mar Belkasmi, Merouan Aggour, Mohammed HCPV power prediction RBF ANN Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with the grid. In this paper, the development of a model to predict the energy of a High CPV (HCPV) system using an Artificial Neural Network (ANN) is described. This system is located at the University of Rabat. The performed experiments show a quick prediction with encouraging results for a very short-term prediction horizon, considering the small amount of data available. These conclusions are based on the processes of obtaining the ANN models and detailed discussion of the results, which have been validated using real data 2020-07-21T07:01:38Z 2020-07-21T07:01:38Z 2020-07-06 info:eu-repo/semantics/article 1996-1073 http://hdl.handle.net/10835/8351 en https://www.mdpi.com/1996-1073/13/13/3493 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | HCPV power prediction RBF ANN Alamin, Yaser Imad Anaty, Mensah K. Álvarez Hervás, José Domingo Bouziane, Khalid Pérez García, Manuel Yaagoubi, Reda Castilla, María del Mar Belkasmi, Merouan Aggour, Mohammed Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title | Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title_full | Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title_fullStr | Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title_full_unstemmed | Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title_short | Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network |
| title_sort | very short-term power forecasting of high concentrator photovoltaic power facility by implementing artificial neural network |
| topic | HCPV power prediction RBF ANN |
| url | http://hdl.handle.net/10835/8351 |
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