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Sense and Landis+Gyr partner for flexible energy transition in Australia and New Zealand

Sense, a leader in embedded intelligence that transforms the relationship between people, homes and the grid, and Landis+Gyr, a leading global provider of integrated energy management solutions have announced an Asia Pacific regional partnership.

The partnership will initially focus on the fast developing Australian and New Zealand markets to support the energy transition to consumer energy resources (CER) systems.

Landis+Gyr will extend Sense’s software into the company’s Grid Edge ready smart meters in Australia and New Zealand, leveraging Landis+Gyr’s proven and leading-edge deployments in North America with Sense to provide unprecedented, real-time analytics by utilising high resolution waveform sensing capabilities for utilities and consumers to manage energy more proactively.

“The future of the grid is flexible, decarbonised, integrated, and powered by machine learning. With Australia leading the world in the uptake of rooftop solar and more than 80 per cent of New Zealand’s electricity generated by renewables, our partnership with Sense positions Landis+Gyr well to support distribution networks, retailers, metering services providers, and consumers to unlock more benefits from the future flexible grid with real-time insights,” explains David Maclean, Senior Vice President of Asia Pacific, Landis+Gyr.

With Sense’s machine learning software integrated in Landis+Gyr’s Grid Edge ready smart meters, utilities will have improved visibility on the grid to identify fault conditions, predict peak demand and provide proactive safety alerts that ultimately support the growth and integration of consumer energy resources – areas where utilities need most visibility in the energy transition.

For consumers, this will deliver real-time information through the identification of different household devices while integrating with other smart devices such as solar, batteries and EVs, enabling them to monitor, control, and track their energy usage.

 

 

 

 

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