‪Michael James LoCascio‬ - ‪Google Scholar‬

Michael James LoCascio

Michael James LoCascio

PhD Student, Stanford University

Verified email at stanford.edu

wake modeling wind plant control wind plant layout optimization computational fluid dynamics uncertainty quantification


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FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models MJ LoCascio, CJ Bay, M Bastankhah, GE Barter, PA Fleming, ... Wind Energy Science 7 (3), 2022	2	2022
Data-driven wake model parameter estimation to analyze effects of wake superposition MJ LoCascio, C Gorle, MF Howland Journal of Renewable and Sustainable Energy 15 (6), 2023		2023
Optimization performance analysis and validation of the FLOW Estimation and Rose Superposition (FLOWERS) model M LoCascio, L Martinez-Tossas, C Bay, G Barter, C Gorle Bulletin of the American Physical Society 67, 2022		2022
Parameter uncertainty quantification of wake models to analyze effects of wake superposition M Locascio, M Howland APS Division of Fluid Dynamics Meeting Abstracts, E15. 004, 2021		2021

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