The vast majority of wind turbines today aren't able to adjust to wind changes and gusts until after winds arrive. That reduces energy production and the life of major components like gearboxes and blades. Available methods for providing wind preview alerts are very expensive and not widely deployed.
Windscape AI will provide a 10x-20x breakthrough in cost and effectiveness with 15-60-second "nowcasts" of of actual wind changes enabling operators to optimize the turbines' pitch, yaw and torque settings for maximum energy capture and longer life. The result is greater revenue, project ROI and turbine life.
We do this with ML processing of data from an ultra-low-cost, WIFI mesh network of sensors across and surrounding the wind farm with zero impact on turbines or operations.
This is proven in the field, patented and ready for deployment.
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1-10 employees
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Renewable Energy Semiconductor Manufacturing
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Berkeley, CA 94703, US
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2021
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Wind Energy, Ai, Machine Learning
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Jason Yosinski is the CEO of Windscape AI. To contact Jason Yosinski email at [email protected], [email protected], [email protected] or [email protected]. Or you may call +1.719.440.1357
The decision makers in Windscape AI are Eric Thompson, Jason Yosinski, Melody Haller, etc. Click to Find Windscape AI decision makers emails.
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