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Entries for Digitizing Utilities Prize
Load Composition Using Regression and Optimization
Solve Load Composition Analysis Using Regression and Optimization
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Grid Vision Technologies
Toward Real-Time High-Sampling-Rate Monitoring
To develop data analytics functions using PMU and point-on-wave data for asset diagnostics and performance evaluation system.
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Red Hawks
ScaLaDE
AI-based embedding calculation for automated and scalable detection of incipient phenomena that can lead to future power disruptions.
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ScaLaDE team
Accelerate EV Integration in Distribution Systems
The project team members worked together to develop a data-driven planning platform to accelerate EV integration in distribution systems.
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Electrify USA
The Data Wave of the Future
We developed a machine learning solution for load modeling, integrating weather, technology, and behavior to forecast energy consumption.
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Cadmus
Digitizing Distribution System Model Validation
Developed a model mismatch root cause recommendation system through combining domain knowledge with first principles and data analytics
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The Sun Team
Leverage AMI Data with ML to Mitigate Wildfires
Uses ML with data from AMI meters to detect issues on the grid that can lead to outages and ignition of wildfires in extreme events.
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Moonshot
Occam.ai - A Unified Load Modeling Solution
We combine robust models and intuitive software tools to provide analytics and highly configurable scenario-based forecasts for any region.
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Occam.ai
Automatility Data Interrogation Module (DIM)
The Automatility DIM is a systems integrator which democratizes synchrophasor analysis and reduces technical skill requirements for users.
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Automatility