Wu, Haidi and Li, Mingxun and Lim, Kimhong and Li, Cunrong (2023) Forecast of Steel Price on ARIMA-LSTM Model. In: Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China.
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Abstract
Forecasting the price of steel is important for the manufacturing industry to make procurement plans and production plans. Price is affected by many factors, considering its time-series characteristics, this paper uses the ARIMA model to predict the linear part and LSTM to predict the non-linear res
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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| Date Deposited: | 04 Mar 2026 16:03 |
| Last Modified: | 17 Apr 2026 03:45 |
| URI: | http://eprints.eai.eu/id/eprint/42047 |
