Abstract
Wind generators are rapidly gaining acceptance as some of the best alternative energy sources. However, wind speed is not constant and the power output of wind generators is proportional to the cube of the wind speed. In order to control the power output for wind power generators, it requires method of wind speed estimation. This paper proposes 3 hours ahead power output forecasting of wind generators based on wind speed forecasting by using Recurrent Neural Network (RNN). The validity of the proposed RNN is confirmed by comparing the forecasting abilities of feed-forward neural network (FFNN) and RNN in simulation results of 1∼3 hour ahead forecasting. The proposed method is not require complicated calculation.
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 callDisclaimer: 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.
