A Google Trend enhanced deep learning model for the prediction of renewable energy asset price

Lalatendu Mishra, Balaji Dinesh, P. M. Kavyassree, Nachiketa Mishra

Abstract: Highlights•The study applies deep learning techniques to predict renewable energy asset price.•Multiple sources of sentiment data are used to improve prediction accuracy.•The CNN LSTM model outperforms both the CNN and Bi-LSTM models.•The inclusion of the Google Trends index enhances the model’s predictive ability.