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.
| Website | https://windscape.ai/ |
| Employees | 3 (2 on RocketReach) |
| Founded | 2021 |
| Industry | Renewable Energy Semiconductor Manufacturing |
| Keywords | Wind Turbine Optimization, Wind Energy, Renewable Energy, Predictive Maintenance, Wind Power Technology, Wind Farm Management, Energy Production Optimization, Energy Efficiency, Clean Energy Solutions, Wind Resource Assessment, Sustainable Energy |
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Jason Yosinski is the Co-Founder and Chief Technology Officer of Windscape AI.
2 people are employed at Windscape AI.
Windscape AI is based in Berkeley, California.