Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique

•Peak & timing of solar cycle 25 has been predicted using sunspot number data.•The concept of Deep Learning algorithm has been used for forecasting.•The proposed model showed good performance on various time intervals with low RMSE value.•Validation of model performance has been done by predicting past solar cycles 20–24.•The model captured non-linearity and cyclic trend within the data with good RMSE.