Improving demand forecasting with LSTM by taking into account the seasonality of data
Demand forecasting is a vital task for firms to manage the optimum quantity of raw material and products. The demand forecasting task can be formulated as a time series forecasting problem by measuring historical demand data at equal intervals. Demand time series usually exhibit a seasonal pattern....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ayandegan Institute of Higher Education, Iran
2020-03-01
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| Series: | Journal of Applied Research on Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.journal-aprie.com/article_118404.html |