Ghaedrahmati, H., Talebi, S., Moradi, A., Eskandari, A., Parvin, P., & Aghaei, M. [ca. 2025]. Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques [Cd]. Freiburg: Universität. https://doi.org/10.3389/fenrg.2025.1611429

GHAEDRAHMATI, Hadis, TALEBI, Saeed, MORADI, Amirmohammad, ESKANDARI, Aref, PARVIN, Parviz und AGHAEI, Mohammadreza, 2025. Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques. Freiburg: Universität.

Ghaedrahmati, H., S. Talebi, A. Moradi, A. Eskandari, P. Parvin, und M. Aghaei. Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques. cd, Universität, 2025, https://doi.org/10.3389/fenrg.2025.1611429.

Ghaedrahmati, Hadis/Talebi, Saeed/Moradi, Amirmohammad/Eskandari, Aref/Parvin, Parviz/Aghaei, Mohammadreza: Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques, Freiburg 2025.

Ghaedrahmati, H., Talebi, S., Moradi, A., Eskandari, A., Parvin, P. und Aghaei, M. (2025), Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3389/fenrg.2025.1611429.