Converting Customers to Engaged Grid Resources: A Non-Wires Playbook for the AMI 2.0 Journey

When it comes to managing growing electrification and residential DERs, challenges that define today’s utility operations, the need for customer satisfaction and efficient grid planning becomes paramount. To meet expectations, AMI 2.0 vendors like Itron Riva make more resolutions of data available than ever before, enabling different use cases. Given that AMI 2.0 deployments require massive investments, this showcases the need for specialized analytics vendors who can turn a growing variety of data streams into demonstrable value for regulators and consumers. Experience the journey of Hydro One implementing a data-driven approach to validating the heightened value of these data streams for grid planning and customer engagement, leveraging AMI 2.0 and NET2GRID EnergyAI™ technology. 

Riva and its grid-edge applications form the backbone of Hydro One’s grid modernization strategy. They leverage NET2GRID EnergyAI™ for household consumption insights and DER awareness capabilities on both AMI 1.0 and 2.0 data, maximizing their data utilization throughout this transition. In the AMI 2.0 context, there is AMI 1.0-style day-late interval data, as well as edge-compute power for real-time DER awareness, and streaming that enables a real-time view into customers’ whole-home and EV energy consumption. 

Upon activating customers with day-late services, some will upgrade to the real-time journey, enriching their experience while also helping the utility manage the grid more effectively. As customers onboard their home Wi-Fi, they activate their real-time data journey, unlocking customer engagement as a pivotal tool in grid management. Hydro One can leverage the real-time streaming of data to build customer-facing services and non-wires alternatives that manage grid capacity while driving energy efficiency goals. 

This comprehensive guide is designed for utilities at any stage in their AMI journey, illuminating the diverse benefits offered by AMI 2.0 technology and third-party DI and AMI analytics applications.