Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case-Reference-Cited by-同舟云学术

Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case

Published:2023-12-22 Issue: Volume: Page:116-127
ISSN:0302-9743
Container-title:Model and Data Engineering
language:
Short-container-title:

Author:

Hasidi Oussama^ORCID,Abdelwahed El Hassan,El Alaoui-Chrifi My Abdellah,Qazdar Aimad,Bourzeix François,Benzakour Intissar,Bendaouia Ahmed,Dahhassi Charifa

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-49333-1_9

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4. Song, H., Liu, X., Song, M.: Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters. Appl. Energy 341, 121077 (2023). https://www.sciencedirect.com/science/article/pii/S0306261923004415

5. Zhang, S., et al.: Combing data-driven and model-driven methods for high proportion renewable energy distribution network reliability evaluation. Int. J. Electr. Power Energy Syst. 149, 108941 (2023). https://www.sciencedirect.com/science/article/pii/S0142061522009371

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