Forecasting of Solar Irradiation using Sequence to Sequence (S2S) Algorithm

Abstract - This paper proposes forecasting of solar irradiation using deep learning algorithm. The algorithm used in this paper is sequence to sequence (S2S) algorithm which uses LSTM cell in its encoder and decoder sections. Hence the forecasting has initially been done with LSTM (Long Short Term Memory) in order to make a comparative analysis. The algorithms are developed on Jupyter notebookusing Keras and Tensor flow libraries. The loss function used for optimisation is Mean Square error (MSE) and the key performance Indicator is Root Mean Square Error (RMSE). Keywords - S2S, LSTM, Keras, Tensor flow, MSE, RMSE