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Energy consumption diagnosis in the iron and steel industry via the Kalman filtering algorithm with a data-driven model

Crossref DOI link: https://doi.org/10.1007/s11432-018-9601-y

Published Online: 2018-10-19

Published Print: 2018-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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