Vestas optimizes wind energy efficiency with Azure AI
Vestas, a leading wind turbine manufacturer, partnered with Microsoft and minds.ai to boost wind energy efficiency using advanced AI and high-performance computing. By deploying Azure Machine Learning and Azure's computational power, Vestas optimized wake steering, a technique enhancing the efficiency of downstream turbines. Within just a few months, a proof of concept leveraging reinforcement learning was built using minds.ai's DeepSim platform. This project highlighted substantial potential for untapped clean energy capture and earned Vestas the 'Best Use of High-Performance Computing in Energy' award in 2023.
- Organization
- Vestas
- Industry
- Energy & Utilities
- Location
- Denmark
- Published
- March 2022
Planned next steps
- The source says the pilot could deliver: Shortened innovation cycle.
- The source says the pilot could deliver: Built reinforcement learning proof of concept.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Vestas
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft News (EMEA)
ai's DeepSim platform on Azure Leveraged Azure Machine Learning and Azure HPC resources for rapid simulation and training Optimized wake steering strategies to maximize downstream turbine efficiency Proof of concept developed within a few months, dramatically shortening innovation cycle Demonstrated substantial potential for increasing overall wind farm energy output Enabled faster adoption of advanced AI solutions in operational wind farms Contributed to Vestas earning the 'Best Use of High-Per
Primary read
Use case focus
Showing 3 of 3
- 1AI-driven wake steering optimization for wind farms
- 2Reinforcement learning for predictive turbine control
- 3High-performance computing for large-scale wind energy simulations
- Demonstrated substantial potential for increasing overall wind farm energy output
- Enabled faster adoption of advanced AI solutions in operational wind farms
Implementation partners1
Sources & evidence1
- Customer explicitly identified
- Independent source available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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