Summary

The increasing adoption of behind-the-meter (BTM) photovoltaic (PV) systems introduces severe visibility challenges for utilities, complicating reverse power flow monitoring and hosting capacity assessments. Traditional monitoring methods are heavily constrained by hardware, communication, and scalability limits.

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NET2GRID EnergyAI® Edge PV resolves this by embedding lightweight AI models directly onto AMI 2.0 smart meters. Using only local active power measurements, the application automatically detects residential PV systems and estimates solar production. This edge-based execution completely eliminates the need for dedicated submeters, high-frequency cloud computing, Wi-Fi connectivity, unreliable telematics data, or prior ownership records.

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By transforming smart meters into distributed intelligence sensors, the solution provides scalable BTM visibility to optimize low-voltage grid operations, enhance feeder-level DER awareness, and support advanced distribution planning.