TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets

•Use the ETR method to increase the data stationariness.•Propose a new hybrid model for energy forecasting.•Use six different energy time series datasets.•The hybrid model with the ETR method provides the best results.•The proposed methods yield the best results for lengthy and short data periods.