> 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/overview/readme.md). # What is NET2GRID EnergyAI® Edge on AMI 2.0? NET2GRID EnergyAI® Edge is an embedded AI analytics solution that brings advanced energy intelligence directly to smart meters and edge devices. Delivered as embedded firmware, the solution can be integrated into smart meters and other edge computing platforms from multiple hardware vendors, enabling real-time analytics without requiring additional customer hardware or cloud-based processing. The service leverages embedded deep learning models and advanced algorithms explicitly designed for low-resource environments, such as smart meters with constrained memory and processing capabilities. By moving intelligence to the edge, the solution ensures localized, secure, and efficient processing, eliminating the need for cloud infrastructure or high-frequency data transmission. The edge-generated insights enable utilities, retailers, grid operators, and technology providers to support a wide range of applications, offering actionable intelligence to enhance grid reliability, improve resource planning, and increase customer engagement and collaboration. NET2GRID EnergyAI® Edge helps utilities build a smarter, more sustainable energy future. This guide provides a high-level overview of the applications available within NET2GRID EnergyAI® Edge, including electric vehicle (EV) detection and solar photovoltaic (PV) system detection. For each application, the guide describes its functionality, generated outputs, configuration options, and messaging interfaces. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.net2grid.com/net2grid-energy-ai-edge-on-ami2/overview/readme.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.