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Dwi Hartanti

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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 · 0 citations

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