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Researcher
- Isabelle Snyder
- Emilio Piesciorovsky
- Stephen M Killough
- Yaosuo Xue
- Aaron Werth
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- Adam Siekmann
- Ali Riza Ekti
- Bryan Maldonado Puente
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- Fei Wang
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- Nils Stenvig
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- Phani Ratna Vanamali Marthi
- Philip Boudreaux
- Rafal Wojda
- Raymond Borges Hink
- Ryan Kerekes
- Sally Ghanem
- Sreenivasa Jaldanki
- Subho Mukherjee
- Suman Debnath
- Sunil Subedi
- Viswadeep Lebakula
- Vivek Sujan
- Yarom Polsky
- Yonghao Gui

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

Multi-terminal DC (MTdc) systems based on high-voltage DC (HVDC) transmission technology is an upcoming concept. In such systems, either asymmetric monopole or bi-pole systems are generally employed. Such systems are not suitable for easy expansion.

Stability performance of interconnected power grids plays crucial roles on their secure operation to prevent cascading failure and blackout.

Technologies directed to a multi-port autonomous reconfigurable solar power plant are described.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).