Wind Flow Prediction Service for Energy Modelling
Overview
This service provides businesses, energy providers, and public sector entities with highly accurate, location-specific maps of predicted wind speed and direction. Designed to accelerate AI adoption in the wind energy and urban planning sectors, the service translates complex meteorological and geospatial data into ready-to-use, actionable insights. The service is built for reliable, production-grade performance. Efficient inference is achieved by exporting Physics-Informed AI models in ONNX format and executing them via ONNX Runtime on the provided infrastructure. The models process georeferenced Digital Surface Models (DSM), auxiliary parameters (longitude and latitude), and historical/current meteorological measurements (such as wind speed and direction from ERA5). The AI model inference workflow is optimized to handle these complex input streams swiftly, outputting standardized geospatial maps without requiring the user to manage the underlying compute.
Outcome
End-users receive high-resolution, georeferenced maps detailing predicted localized wind flows (speed and direction) tailored to their specific locations. These outputs directly drive business value by maximizing return on investment through optimized wind turbine micro-siting, reducing the time and costs associated with traditional wind resource feasibility studies, and mitigating structural risks in complex infrastructure and urban planning.
Service Card
| Category | AI products |
| Domain | Wind Energy, Urban Planning, Geospatial Analytics |
| Vertical | Green Transition |
| Target users | Research Institutions, SMEs, Public Sector |
| Service type | AI Models |
| Outputs | High-resolution, georeferenced maps of predicted wind speed and direction. |
| Requirements | |
| Limitations | |
| Availability | Q2/2027 |
| Licensing | |
| Visual content | assets/service-visuals/wind-flow.png |
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