Artificial intelligence for Wind Energy
AI for Wind Energy
Accelerate transition to alternative energy sources

The key pain points facing organizations looking at wind energy as a renewable energy source are accurate forecasting, minimizing turbine downtime and mitigating turbine degradation. Companies are looking to maximize overall power generation while reducing mean-time-to-respond (MTTR) – time to respond to/address faults.

Our AI technology provides intelligent self-learning capabilities that address these challenges and seamlessly transition from a traditional operating center to a self-operating management business. We help in setting standard practices for sustainability solutions and in centralizing knowledge across the organization to improve collaboration and decision-making.

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<p>Assess and predict wind patterns</p>

Assess and predict wind patterns

<p>Predict power output based on weather forecasts, historical data, and real-time turbine performance</p>

Predict power output based on weather forecasts, historical data, and real-time turbine performance

<p>Optimize control of wind turbines and the entire wind farm</p>

Optimize control of wind turbines and the entire wind farm

What we're up to
A Sustainable Future Is Closer Than We Think, 2023 AI Trends to Make Waves
Smart Industry: Using Artificial Intelligence to Combat Climate Change
FORBES TECH COUNCIL: 14 Ways AI Can Help Business And Industry Boost Sustainability
FORBES TECH COUNCIL: 20 Tech-Focused Business Practices That Promote Better Sustainability
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Artificial intelligence for smart energy and renewables
Sensor Placement
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Wind Energy
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Geothermal Energy
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Carbon Storage
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