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Grid Edge Distributed Monitoring of Electrical Safety and Energy Management
Our latest innovative technology stack consists of high-fidelity voltVISION sensors and gridIQ intelligence hubs that enable hierarchical, distributed situational awareness and intelligence layers, and actionable distributed energy resource (DER) assets such as rooftop solar, energy storage, and smart thermostats.
High-fidelity VoltVision sensors are designed to be cost-performance optimized, providing you with top-of-the-line performance at an affordable cost. These sensors are designed to take and process millions of voltage measurements per second, allowing them to detect adverse electric wiring configurations and hazardous conditions such as arcing and material/contact degradation in real-time. Conveniently plugged into power outlets in key locations, our VoltVision sensors provide you with real-time information to improve electrical safety. With our technology, you'll receive immediate notifications of any developing hazard conditions in your home, enabling you to take quick action to prevent potential power outages, injuries, or damage to your property. This results in more efficient energy use and reduces energy waste, making it a smart and safe choice for homeowners and communities alike.
Our self-serving situational awareness capability is accomplished solely by using distributed measurements from our high-fidelity VoltVision sensors. This technology enables constant updates of the electric system's state and facilitates grid edge monitoring and control independent of the electric utility. Our goal is to further advance this capability to enable larger penetration of distributed energy resources (DER). The electric grid in communities has limited but significant capacity, and it can accommodate future needs if capacity is shared and energy consumption is coordinated. With our technology, we aim to empower individuals and communities to manage their energy consumption efficiently and safely, and to support the transition to a more sustainable energy future.
We're redefining grid edge intelligence access with our innovative technology by making local community grid intelligence accessible to energy service providers serving your homes and businesses needs, so you can say goodbye to inefficient energy use and safety hazards. Our technology offers a smarter and safer way to manage your and your community energy needs.
Technology is currently deployed in small parts of Texas and California. In addition, we provide on-demand electric hazard screening services to households and businesses.
GridIQ intelligence hubs are essential components in creating a distributed situational awareness and intelligence network that provides real-time insight to grid state situational awareness to the devices in your home, such as smart thermostats or EV chargers, enabling better energy management decisions. By collecting data from our high-fidelity sensors and using distributed machine learning and artificial intelligence, these hubs simplify energy management and eliminate safety hazards. Our GridIQ technology is equipped with the latest embedded community grid model for autonomous energy management decision-making, ensuring that there are no adverse impacts on neighbors' power quality or grid reliability. With our intelligence hubs, you can rest assured that your energy needs are being efficiently managed, and your safety is our top priority.
In addition, our system can detect incipient faults in the community/utility grid, such as vegetation contact with the energized conductor that may ignite sparks and cause wildfires.
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TECHNOLOGY
EXPERIENCE THE FUTURE OF GRID EDGE TECHNOLOGY
Our technology is making real the concept of open grid intelligence and situational awareness access for electrically safer and energy consumption smarter homes and communities. Here is how.
SEE US IN ACTION
Community Electric Grid Topology Detection With Speed and Accuracy
Full electric topology detection can be accomplished within seconds, using only a few hundred measurement intervals. In the video, we demonstrate the primary (mid voltage) topology identification of the community electric grid, which spans across several square miles. Although not shown in the video, our system can also accurately identify the low voltage grid topology.
