%0 Journal Article
%A Caballero Roldán, Rafael
%A Zarzalejo Tirado, Luis Fernando
%A Otero Martín, Álvaro
%A Piñuel Moreno, Luis
%A Wilbert, Stefan
%T Short term cloud nowcasting for a solar power plant based on irradiance historical Data
%D 2018
%@ 1666-6046
%U https://hdl.handle.net/20.500.14352/13009
%X 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.
%~