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 [cd]. Freiburg: Universität. doi:10.3389/fenrg.2025.1611429.
Chicago Manual of Style 17th edition (full note)Ghaedrahmati, Hadis, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, und Mohammadreza Aghaei. Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques. Cd. Freiburg: Universität, [2025?], Freiburg: Universität, [2025?]. https://doi.org/10.3389/fenrg.2025.1611429.
American Psychological Association 7th editionGhaedrahmati, 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]. Universität. https://doi.org/10.3389/fenrg.2025.1611429
Modern Language Association 9th editionGhaedrahmati, 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.
ISO-690 (author-date, Deutsch)GHAEDRAHMATI, Hadis, Saeed TALEBI, Amirmohammad MORADI, Aref ESKANDARI, Parviz PARVIN und Mohammadreza AGHAEI, 2025. Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques. Freiburg: Universität