Data-driven machine learning for accurate prediction and statistical quantification of two phase flow regimes-Reference-Cited by-同舟云学术

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Data-driven machine learning for accurate prediction and statistical quantification of two phase flow regimes

Published:2021-07 Issue: Volume:202 Page:108488
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Ali Naseem^ORCID,Viggiano Bianca,Tutkun Murat^ORCID,Cal Raúl Bayoán

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference32 articles.

1. Feedback control of unstable steady states of flow past a flat plate using reduced-order estimators;Ahuja;J. Fluid Mech.,2010

2. Thermally (Un-) StratifiedWind Plants: Stochastic and Data-Driven Reduced Order Descriptions/Modeling;Ali,2018

3. Data-driven modeling of the wake behind a wind turbine array;Ali;J. Renew. Sustain. Energy,2020

4. Reduced-order modeling of the wake behind a single wind turbine;Ali,2018

5. Cluster-based reduced-order descriptions of two phase flows;Ali;Chem. Eng. Sci.,2020

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