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

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...

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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
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Vidnovluvana energetika
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Vidnovluvana energetika

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