Open access
Aug 2026
Residual Learning-Based Hybrid ARIMA–LSTM for Digital Retail Demand Forecasting
It is demonstrated that a residual learning-based Hybrid ARIMA–LSTM framework can effectively improve daily digital retail demand forecasting by integrating statistical and deep learning models under identical experimental settings.
Dwi Hartanti, Aprilisa Arum Sari
· Journal of Information Syste... · 0 citations