ДОСЛІДЖЕННЯ ЕФЕКТИВНОСТІ НЕЙРОННОЇ МЕРЕЖІ PROPHET ДЛЯ ВИЗНАЧЕННЯ ПАРАМЕТРІВ ВІТРОВОГО ПОТОКУ

• Datum: 2025
• Hauptverfasser: Molyboh , О., Baltovskyy , Y.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2025
• Schlagworte: renewable energy; measurement of wind flow parameters; wind energy potential; mean wind speed; MCP approach; Prophet neural network; forecasting; and wind power density.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/585
• Назва журналу: Vidnovluvana energetika

The aim of this article is to assess the feasibility of using the Prophet neural network together with selected Python libraries for the correlation analysis and mid-term forecasting of wind potential in the Azov region, as well as to compare the obtained results with several linear regression metho...