Use case type

Wind optimization

Wind optimization groups 1 documented AI deployment in the AI Use Case Hub. Adoption so far is concentrated in Energy & Utilities. Browse the company examples below to see how teams put it into production.

Use cases

Examples

Industries

Timeline

1 mo

Company examples

Use cases of this type

1 shown from 1 use cases

MicrosoftMar 24, 2022

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.

VestasEnergy & Utilities

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AI adoption trend

Trendline vs all cases / company examples

Industry

March 2022: 1 industry

Where it’s used

Energy & Utilities1(100%)

Cloud providers

Microsoft1(100%)

Use case profile

Documented use cases: 1
Scored examples: Average innovativeness4/5Advanced4/5 - Advanced. The case describes building a reinforcement-learning proof of concept for wake steering using DeepSim on Azure HPC/ML with rapid real-world simulation-training, indicating a more sophisticated simulation-to-optimization workflow.