> 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-cloud/functionality/electric-vehicle-charging-events.md). # Electric Vehicle Charging Events ## Event-Level EV Detection NET2GRID EnergyAI® automatically detects and characterizes EV charging events directly from standard smart meter data, **without requiring integration with dedicated EV chargers or connected car APIs.** By isolating these high-impact loads, you can deliver precise EV analytics, quantify the impact of electric mobility on household consumption, and support advanced tariff designs, demand-response participation, and flexibility services. *** ## Decoding the Charging Session An EV charging pattern is highly distinct within a household's broader energy profile. NET2GRID EnergyAI® analyzes the smart meter time-series data to isolate these long-duration, high-power sessions, from the background noise of standard household appliances. Every time a vehicle is plugged in, the system extracts the session automatically and characterizes it with standardized attributes: * **Start Timestamp:** The exact time the charging activity begins. * **End Timestamp:** The time the session concludes. * **Energy (kWh):** The total energy delivered to the vehicle during the session. By aggregating these individual events, NET2GRID EnergyAI® builds a comprehensive historical charging profile for the household. This enables you to visualize typical habits, including preferred charging hours, session frequency, and average daily energy use.
EV charging session detection
*** ## Why Event-Level Data Matters Moving beyond basic monthly percentages to continuous, event-level detection provides actionable insights for both ends of the energy ecosystem: * **For Consumers:** Unlocks transparent charging costs, highlights energy use trends, and provides the necessary data to optimize charging schedules (e.g., shifting loads to off-peak tariff hours). * **For Utilities:** Offers vital visibility into true EV penetration, localized charging demand profiles, and load-shifting potential, foundational metrics for grid planning and flexibility programs.
EV charging insights
*** ## How we deliver this The EV charging intelligence is delivered as a structured data report detailing each individual charging session. Every report provides a timeline of charging events, including start and end times, total duration, and energy consumed, ready to be ingested by your systems. This event-based format allows you to seamlessly integrate charging histories, cost estimations, and optimization insights directly into your mobile app visualizations, CRM, or backend reporting workflows. Electric Vehicle Charging Events are available in the [Monthly - Grid Intelligence](/net2grid-energy-ai-cloud/delivery-configurations/monthly-grid-intelligence.md) and [Daily - Consumer Intelligence](/net2grid-energy-ai-cloud/delivery-configurations/daily-consumer-intelligence.md) delivery configurations, where you'll also find the link to the interface specifications. --- # 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-cloud/functionality/electric-vehicle-charging-events.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.