The AI-driven initiatives aim to lessen the complexity of monitoring to help improve everything from maintenance planning to quality checks to
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.
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.
Utilities need incisive, fast, data-driven methods for dealing with natural disasters like wildfires – both before and after disaster strikes.
A generation of video applications treats cameras more like the internet of things (IoT) devices by monitoring asset conditions, identifying equipment using …
AI is critical to bringing utilities into today's digital era and establishing a more affordable, reliable, accessible, and sustainable system.
The use of new real-time data streams and predictive analytics will give utilities intelligent decision-making capabilities to improve operations, reduce …
Enterprises awash in real-time video and audio data take