Error modeling of demand patterns to improve forecasting accuracy
This study aims to estimate and model error patterns to reduce forecast error and improve forecast accuracy for time series data. The objective is to assess the impact of incorporating error patterns as features in long short-term memory and transformer neural network models. The research employs a...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175223 |