EDMI and Sense have partnered to explore opportunities in the ANZ market to enable the optimal management of energy resources as the transition to a more distributed and renewable energy system accelerates.

Distributed embedded intelligence incorporated into energy measurement and control devices such as smart meters enable a more sophisticated approach to managing constrained energy resources. Sense’s machine learning software, running on EDMI’s smart meters, provides powerful decision-making insights by identifying the unique power signatures of different appliances in the home.

Through this process, Sense’s machine learning software can determine how much energy is being used in both historic and real-time, generating a rich consumer experience. It can also spot faulty appliances, dangerous wiring and problems on the grid earlier than these issues are identified today.

“EDMI’s focus on partnerships in this region has been the cornerstone of our success,” EDMI ANZ executive director Brett Reid says.

“It is through partnerships like these that EDMI will be best placed to provide significant support to those using our solutions to address the challenges and opportunities faced as the move towards carbon net zero gathers momentum.”

With machine-learning capability, energy retailers and metering service providers, ANZ will soon be able to offer engaging new services and energy insights to their customers, provide flexibility at scale to the grid, optimise power management across the home and finesse their power purchasing with detailed forecasting.

Networks will benefit with real time grid edge insight and the ability to identify and locate common problems on the grid such as vegetation brush and corrosion. Crucially, end users will benefit from an engaging real-time consumer application, save money on their bills and reduce their carbon footprint.