Inventory Probabilistic Forecasting Model for Demand Uncertainty: A Variational Poisson Inference Approach Based on Clustering and Deep Learning
Due to the significant uncertainty in consumer demand for goods, inventory demand exhibits randomness and temporal heterogeneity, making it extremely difficult to summarize demand patterns over different time periods. Traditional time series forecasting methods struggle to uncover these patterns and...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11440924/ |
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