NIST released an updated version of its Smart Grid Framework, which focuses on interoperability and security
How the energy industry uses real-time analytics, such as through optimized energy production, weather forecasting, building-energy management, demand response, predictive maintenance for equipment, and other uses.
Blockchain doesn’t just improve existing industry applications, it overturns our very understanding of how those industries can operate.
Quantum computing can greatly accelerate the ability to analyze data coming in from the grid to re-route and re-allocate
On the skills front, utilities must look to foster a digital culture that encourages continuous learning, agile development, and innovation.
Today's leading technology initiatives from AI to edge computing to digital twins are all made possible with
The AI-driven initiatives aim to lessen the complexity of monitoring to help improve everything from maintenance planning to quality checks to
The statistical models allow the team to make predictions using far less computational
Realizing the full promise of digital twins may require integrating systems and data across entire organizational ecosystems.
This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly
IoT, stream processing, and analytics based on CI and AI allow energy companies to boost efficiencies and better meet customer and regulatory demands.