Landis+Gyr has joined Epri’s Open Power AI Consortium to help utilities, national labs and technology providers use AI for improving grid efficiency, reliability and resiliency.

The California-based Electric Power Research Institute (Epri) launched the consortium to develop open-source AI and gen AI models, as well as datasets and libraries, to address electric utility problems. The consortium is also making an AI sandbox available to members for testing and validation of use cases prior to field testing and deployment.

“The consortium is designed to connect technology users, providers and developers around shared efforts to address emerging challenges on power systems,” said Jeremy Renshaw, Epri (www.epri.com) director. “The end goal is to enhance grid reliability, optimise performance of existing assets and reduce costs for utility customers.”

Landis+Gyr is improving grid edge intelligence with its Revelo grid-sensing metering platform, which streams high-resolution voltage and current data to support real-time edge applications. These applications assist utilities with demand management, asset protection and DER integration to maintain reliability and affordability of energy.

Access to ready-to-use AI models and analytics complements Landis+Gyr’s existing app development environment to support work on flexibility management, as well as applications dependent on anomaly detection and prediction models.

“This initiative represents a strategic opportunity for Landis+Gyr to collaborate with leading utilities and technology partners to advance AI applications for our customers,” said Amith Kota, chief technology officer at Landis+Gyr (www.landisgyr.com). “Epri’s Open AI Consortium provides the ability to work directly with leading companies in this space to accelerate innovation and validate new use cases for grid edge apps and analytics.”

The consortium (openpowerai.org) aims to evolve the electric sector by leveraging AI technologies to innovate the way electricity is made, moved and used. By fostering collaboration among industry, researchers and technology providers, the consortium hopes to drive the development and deployment of AI to enhance operational efficiencies, increase resiliency and reliability, deploy emerging and sustainable technologies, and reduce costs while improving the customer experience.