Virtual Neurons are easy to scale and can be deployed anywhere in the world, using the highest quality weather data available.
Opt for a hybrid deployment, by combining virtual and physical Neurons for unrivaled system-wide coverage.
Virtual Neurons are highly configurable and can easily be tailored to the needs of your grid operations.
Drawing on years of experience with physical sensors, Virtual Neurons deliver crucial insights on grid capacity without the need for hardware investment.
Accurate Power Line Modeling:
Virtual Neurons leverage asset data to precisely model power lines, ensuring reliable insights.
High-Quality Weather Data Integration:
Utilizes top-tier weather data inputs for precise and relevant forecasting.
Detailed Local Topography Consideration:
Accounts for local topography with spatial resolutions of 90x90m, delivering highly accurate insights.
Industry-Standard Compliance:
Built on the CIGRE and IEEE Ratings Models, ensuring adherence to industry standards.
Regulatory Compliance:
Fully compliant with FERC Order 881, supporting regulatory adherence and operational efficiency.
Enhanced with Real Sensor Data:
Configured using data from physical Neurons, providing a solid foundation for your analysis.
Combine virtual Neurons with our physical Neurons for optimal power line monitoring and thermal management.
Adding more physical Neurons enhances the reliability of the virtual ones, giving you unmatched quality at scale and enabling true system-wide monitoring.
An effective entry-level solution for dynamic ratings of high-voltage overhead lines. Meets all the requirements of FERC Order 881 while increasing transmission capacity in a safe, fast, and cost-effective manner.
Our world-leading Dynamic Line Rating is a comprehensive, scalable, and easy-to-deploy solution that uses virtual and physical sensors (Neurons) to measure directly on the line, achieving the perfect balance of precision and cost-efficiency for your system-wide projects.
Safeguard your assets 24/7. Detect and locate faults in your grid, keep track of icing and vibrations, and monitor the development of asset health. It can be added to select lines in system-wide capacity monitoring projects.
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