Solar Photovoltaic Power Forecasting
The management of clean energy is usually the key for environmental, economic, and sustainable developments. In the meantime, the energy management system (EMS) ensures the clean energy which includes many sources grouped in a small power plant such as microgrid (MG). In this case, the forecasting m...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8819925 |
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| _version_ | 1832551672389304320 |
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| author | Abdelhakim El hendouzi Abdennaser Bourouhou |
| author_facet | Abdelhakim El hendouzi Abdennaser Bourouhou |
| author_sort | Abdelhakim El hendouzi |
| collection | DOAJ |
| description | The management of clean energy is usually the key for environmental, economic, and sustainable developments. In the meantime, the energy management system (EMS) ensures the clean energy which includes many sources grouped in a small power plant such as microgrid (MG). In this case, the forecasting methods are used for helping the EMS and allow the high efficiency to the clean energy. The aim of this review paper is providing the necessary data about the basic principles and standards of photovoltaic (PV) power forecasting by stating numerous research studies carried out on the PV power forecasting topic specifically in the short-term time horizon which is advantageous for the EMS and grid operator. At the same time, this contribution can offer a state of the art in different methods and approaches used for PV power forecasting along with a careful study of different time and spatial horizons. Furthermore, this current review paper can support the tenders in the PV power forecasting. |
| format | Article |
| id | doaj-art-5c1b7fca730e46ef9d34017c03b68e08 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-5c1b7fca730e46ef9d34017c03b68e082025-02-03T06:00:49ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552020-01-01202010.1155/2020/88199258819925Solar Photovoltaic Power ForecastingAbdelhakim El hendouzi0Abdennaser Bourouhou1Lab Research in Electrical Engineering, Mohammed V University of Rabat National School of Computer Science and Systems Analysis and Higher Normal School of Technical Education, Avenue of Mohammed Ben Abdallah Regragui, Madinat Al Irfane, PB 713, Agdal Rabat, MoroccoLab Research in Electrical Engineering, Mohammed V University of Rabat Higher Normal School of Technical Education, Avenue of the Royal Army, Madinat Al Irfane, District Riad, Rabat 100100, MoroccoThe management of clean energy is usually the key for environmental, economic, and sustainable developments. In the meantime, the energy management system (EMS) ensures the clean energy which includes many sources grouped in a small power plant such as microgrid (MG). In this case, the forecasting methods are used for helping the EMS and allow the high efficiency to the clean energy. The aim of this review paper is providing the necessary data about the basic principles and standards of photovoltaic (PV) power forecasting by stating numerous research studies carried out on the PV power forecasting topic specifically in the short-term time horizon which is advantageous for the EMS and grid operator. At the same time, this contribution can offer a state of the art in different methods and approaches used for PV power forecasting along with a careful study of different time and spatial horizons. Furthermore, this current review paper can support the tenders in the PV power forecasting.http://dx.doi.org/10.1155/2020/8819925 |
| spellingShingle | Abdelhakim El hendouzi Abdennaser Bourouhou Solar Photovoltaic Power Forecasting Journal of Electrical and Computer Engineering |
| title | Solar Photovoltaic Power Forecasting |
| title_full | Solar Photovoltaic Power Forecasting |
| title_fullStr | Solar Photovoltaic Power Forecasting |
| title_full_unstemmed | Solar Photovoltaic Power Forecasting |
| title_short | Solar Photovoltaic Power Forecasting |
| title_sort | solar photovoltaic power forecasting |
| url | http://dx.doi.org/10.1155/2020/8819925 |
| work_keys_str_mv | AT abdelhakimelhendouzi solarphotovoltaicpowerforecasting AT abdennaserbourouhou solarphotovoltaicpowerforecasting |