Demand Forecasting of a Fused Magnesia Smelting Process Based on LSTM and FRA

Zhang, J, Li, K orcid.org/0000-0001-6657-0522 and Chai, T (2021) Demand Forecasting of a Fused Magnesia Smelting Process Based on LSTM and FRA. In: Communications in Computer and Information Science. 6th International Conference on Life System Modeling and Simulation, LSMS 2020, and 6th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2020, 25 Oct 2020, Hangzhou, China. Springer Nature , pp. 201-215. ISBN 978-981-33-6377-9

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Copyright, Publisher and Additional Information: © Springer Nature Singapore Pte Ltd. 2020. This is an author produced version of a conference paper published in Communications in Computer and Information Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Demand forecasting; LSTM; FRA
Dates:
  • Published: January 2021
  • Accepted: 1 June 2020
  • Published (online): 12 January 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Jan 2021 15:32
Last Modified: 15 Mar 2021 11:24
Status: Published
Publisher: Springer Nature
Identification Number: https://doi.org/10.1007/978-981-33-6378-6_15

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