Abstract
Wind power is intermittent and nonlinear. When the amount of power generation exceeding the margin of the power system generation is input from the wind power generator to the grid, disturbance may occur in the grid. Therefore, in order to operate a power system stable, it is necessary to accurately predict wind power generation. For stable system operation, short-term wind power prediction, that is, prediction of the amount of electrical power generated from 1 hour to several hours is required. In this paper, an LSTM model for each forecasted time was created and combined to predict the amount of wind power generation after 1 to 3 hours. The validity of the proposed model was proved by comparing and analyzing the prediction accuracy with the proposed model, LSTM model, and DBN model.
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.
