Publication:
Short term cloud nowcasting for a solar power plant based on irradiance historical Data

Loading...
Thumbnail Image
Full text at PDC
Publication Date
2018-12
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Nacional de La Plata
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
This work considers the problem of forecasting the normal solar irradiance with high spatial and temporal resolution (5 minutes). The forecasting is based on a dataset registered during one year from the high resolution radiometric network at a operational solar power plan at Almeria, Spain. In particular, we show a technique for forecasting the irradiance in the next few minutes from the irradiance values obtained on the previous hour. Our proposal employs a type of recurrent neural network known as LSTM, which can learn complex patterns and that has proven its usability for forecasting temporal series. The results show a reasonable improvement with respect to other prediction methods typically employed in the studies of temporal series.
Description
© 2018 Universidad Nacional de La PLata This work has been partially supported by the Spanish MINECO project TIN2015-66471, and by the Santander-UCM project PR26/16-21B-1.
Keywords
Citation
Collections