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Empowering you to run cost-effective, resilient grids.
Revolutionary vegetation management solution by combining space-level AI, satellite insights, and drone technology.
The GridEyeS project, conducted with HVL, eSmart, European Space Agency (ESA), ENTSO-e, and StormGeo, is researching and developing a new satellite and drone technology approach to vegetation management.
Key benefits
Plan restoration efforts effectively after events like storms or fires.
Instead of rigid calendars, our AI-driven risk assessments prioritize maintenance based on high-risk areas. Manual inspections are replaced with data-driven efficiency.
Outage prediction relies on a sophisticated predictive model that utilizes historical outage data and comprehensive weather records. By analyzing registered outage data alongside detailed historical weather patterns, our model identifies correlations between weather conditions and outage occurrences.
Using advanced machine learning techniques, the model extrapolates from past instances to accurately forecast future outages. It operates at a granular level, providing predictions for outages up to three days in advance, with six-hour intervals. This proactive approach empowers our clients to preemptively manage risks, optimize resource allocation, and enhance operational resilience, ultimately contributing to a more reliable infrastructure and service delivery.
Our solution incorporates real-time weather forecasts based on our bespoke models. A priority axis for our research are satellite images in order to analyze vegetation impact on grid risk levels.
Knut H. H. Johansen CEO
eSmart Systems
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