Developing deep learning surrogate models for digital twins in mineral processing – A case study on data-driven multivariate multistep forecasting

Akhtar Zeb^*, Joonas Linnosmaa, Mikko Seppi, Olli Saarela

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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AIMODE: Development of Artificial Intelligence and Machine Learning for Online Perception and Operating Mode Optimization in Process Industry
Linnosmaa, J. (Manager), Seppi, M. (Participant), Zeb, A. (Participant), Saarela, O. (Participant), Verma, N. (Participant), Freimane, L. (Participant), Aho, J. (Participant) & Tahkola, M. (Participant)
1/09/22 → 31/08/25
Project: Business Finland project