ДОСЛІДЖЕННЯ ЕФЕКТИВНОСТІ НЕЙРОННОЇ МЕРЕЖІ PROPHET ДЛЯ ВИЗНАЧЕННЯ ПАРАМЕТРІВ ВІТРОВОГО ПОТОКУ

• Date: 2025
• Main Authors: Molyboh , О., Baltovskyy , Y.
• Format: Article
• Language: Ukrainian
• Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2025
• Subjects: renewable energy; measurement of wind flow parameters; wind energy potential; mean wind speed; MCP approach; Prophet neural network; forecasting; and wind power density.
• Online Access: https://ve.org.ua/index.php/journal/article/view/585
• Journal Title: 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...