Abstract
Estimation of the amount of electricity generation plays an important role in the planning of transmission and distribution systems, generation economy, unit work schedules and maintenance repair timing. With accurate forecasting models, uninterrupted and reliable electrical energy production can be achieved. In our study, 1-hour, 2-hour and 3-hour ahead predictions were made with different deep learning algorithms using Turkey's hourly electricity generation data. With the MAE, RMSE and correlation coefficient values of the models, their performances were compared. The study aimed to determine the model that makes the closest estimation to the real values. In this context, it is anticipated that the study will be useful for future prediction studies.
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.
