Abstract
Renewable energy has advantages in environmental aspects such as greenhouse gas reduction and fine dust reduction, but the stability of the power system is lowered due to the variability & uncertainty of renewable energy sources. Therefore, it is important to predict the amount of generation of renewable energy, which can contribute to system stabilization. In order to predict the power generation of floating photovoltaic(FPV), the generation amount of 500㎾ FPV and meteorological data were used to predict the power generation through the Recurrent Neural Network(RNN). To perform appropriate prediction, identifying the correlation between variables, removing multicollinearity, handling missing values properly are performed and the amount of power generation is predicted through appropriate RNN. In addition, it is analyzed how the influence of wind affects the amount of power generation of FPV
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The transactions of The Korean Institute of Electrical Engineers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
