8 citations · 13 across the 5 of their papers we have counts for
5 papers
Visual anemometry: physics-informed inference of wind for renewable energy, urban sustainability, and environmental science
John O. Dabiri, Michael F. Howland, Matthew K. Fu +1
Accurate measurements of atmospheric flows at meter-scale resolution are essential for a broad range of sustainability applications, including optimal design of wind and solar farm…
Persistent Laminar Flow at Reynolds Numbers Exceeding 100,000
John O. Dabiri, Nina Mohebbi, Matthew K. Fu
Accurate prediction of the transition from laminar flow to turbulence remains an unresolved challenge despite its importance for understanding a variety of environmental, biologica…
Physical constraints on visual anemometry using vegetation displacement statistics
Roni H. Goldshmid, John O. Dabiri
Visual anemometry (VA) leverages observations of fluid-structure interactions to infer incident flow characteristics. Recent work has demonstrated the concept of VA using both data…
Self-Supervised Keypoint Discovery in Behavioral Videos
Jennifer J. Sun, Serim Ryou, Roni Goldshmid +6
We propose a method for learning the posture and structure of agents from unlabelled behavioral videos. Starting from the observation that behaving agents are generally the main so…
Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment
Michael F. Howland, Carlos Moral Gonzalez, Juan Jose Pena Martinez +5
The intentional yaw misalignment of leading, upwind turbines in a wind farm, termed wake steering, has demonstrated potential as a collective control approach for wind farm power m…