- Tytuł:
- New model of photovoltaic system adapted by a digital MPPT control and radiation predictions using deep learning in Morocco agricultural sector
- Autorzy:
-
Zouhri, Amal
El Mallahi, Mostafa - Powiązania:
- https://bibliotekanauki.pl/articles/27314237.pdf
- Data publikacji:
- 2023
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
Morocco sustainable development
solar pumping
Deep Learning
renewable energies
solar radiation - Opis:
- Solar energy is an essential factor in Moroccan sustainable development, especially in solar pumping in the agricultural sector. It is therefore difficult to dissociate the energy system of a society from its economic development and social development. Solar radiation prediction is useful in giving us a global overview on maintaining the integrity of solar systems. Access to database use makes this process more flexible. Solar forecasts can be generated using various available data sources. There are two major pillars of this data: the exploitation of historical solar radiation data, and the exploitation of other meteorological factors. On the other hand, the choice of data can have an impact on the choice of the model and the approach employed. In this paper we suggest an idea that aims to monitor in real time the situation of solar radiation in Morocco, using Long Short‐Term Memory for deep learning models compared with Artificial Neural Networks and Deep Neural Networks to predict the solar radiation with regard to solar pumping in the Moroccan agricultural sector.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2023, 17, 2; 74--84
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł