> For the complete documentation index, see [llms.txt](https://docs.net2grid.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.net2grid.com/net2grid-energy-ai-edge-on-ami2/applications/pv/use-cases.md).

# Use Cases

### Premise-Level PV Production Monitoring

The application enables continuous monitoring of PV power generation at the individual premise level. This capability restores visibility of behind-the-meter generation that is otherwise not directly observable by the utility. It enables operational monitoring of DER activity using existing metering infrastructure and supports large-scale deployment without the need for additional sensors or communication channels.

<figure><img src="https://2434416444-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FXHszQ9txdPFAVXJtfqn0%2Fuploads%2FqFkGtN01VOXmkCvXrnDa%2Fimage.png?alt=media&amp;token=7af10d26-dad2-473d-9e66-6e48fa9ef800" alt="" width="563"><figcaption></figcaption></figure>

### Detection of Unregistered or Changed PV Installations

The application detects structural changes in PV production patterns, including new installations, system upgrades, or long-term disappearance of generation. Examples include cases where customers add additional panels (e.g., increasing capacity from 3 kW to 5 kW) without informing the utility. This functionality supports automated maintenance of DER registries, reduces dependence on customer self-reporting, and improves data quality for regulatory reporting, network planning, and operational decision-making.

### Monitoring of PV Performance and Degradation

By analyzing historical production patterns, the application can enable the identification of abnormal or declining PV performance caused by factors such as shading, vegetation growth, panel soiling, particulate accumulation, equipment faults, or long-term degradation. This enables early detection of underperforming systems and supports proactive maintenance or customer engagement programs. It also improves the reliability of aggregated production forecasts and provides indirect indicators of system health without requiring direct access to inverter data.

<figure><img src="https://2434416444-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FXHszQ9txdPFAVXJtfqn0%2Fuploads%2FwLr04YXm5ibrtTptZ0o6%2Fimage.png?alt=media&amp;token=d54ad0b8-9cac-4d23-92e0-8cd3cf8f96f3" alt="" width="563"><figcaption></figcaption></figure>

### Replacement of Physical PV Submeters

The application provides a virtual PV production meter using only smart meter data, enabling accurate monitoring of customer generation without dedicated PV submeters. This reduces hardware installation and maintenance costs, simplifies operational workflows, and enables scalable monitoring across large customer portfolios. It also supports rapid deployment of PV monitoring programs and minimizes dependency on heterogeneous customer-side equipment.

### Data-Driven Distribution System Planning

Premise-level PV production estimates can be aggregated at feeder, transformer, or zone level to support distribution system planning activities. This data improves hosting capacity analysis, enables more accurate modeling of reverse power flows, and supports prioritization of network reinforcement investments. It also provides critical inputs for low-voltage digital twins and power flow simulations.

<figure><img src="https://2434416444-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FXHszQ9txdPFAVXJtfqn0%2Fuploads%2FfdmirQtUOyKakSl0cIA2%2Fimage.png?alt=media&amp;token=a6ef2e82-cc5f-405a-ae5c-0fa1ded5dcbd" alt="" width="563"><figcaption></figcaption></figure>

### Support for PV Management and Flexibility Programs

The application enables utilities to operate and evaluate PV-related programs by providing measurable, time-resolved production data. This includes monitoring of curtailment schemes, export limitations, and incentive programs. The outputs can be combined with other DER agents (e.g. EVs, batteries, heat pumps) to support local flexibility strategies, operating envelopes, and congestion management. The agent also quantifies available surplus generation for downstream use cases such as storage charging or load shifting.

### Customer Engagement and Awareness

Where customer-facing applications are supported, PV production insights can be exposed to end users through consumer portals or mobile applications. This increases customer awareness of solar performance, enables personalized insights, and improves engagement in energy transition programs. It also supports transparency and trust by providing consistent and data-driven feedback on system behavior.


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