DESIGN OF A MATLAB GUI FOR SHORT-TERM SOLAR FORECASTING BASED ON DEEP LEARNING

• Datum: 2023
• Автори та афіліації: D. Matushkin — National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine.; A. Bosak — National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine.
• Ключові слова: keywords
• Hauptverfasser: Matushkin, D., Bosak, A.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2023
• Schlagworte: short-term forecasting; solar power plant; deep learning; Long Short-Term Memory; graphical user inter-face; MATLAB&Simulink simulation.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/408
• Назва журналу: Vidnovluvana energetika

In energy systems, it is crucial to forecast solar energy generation for optimization of operations and to mitigate the impact of uncertainty. Forecasting solar energy involves predicting solar irradiance, for which historical solar irradiance and weather parameter data are typically required. Howev...