When launched, Electric Nation was one of the world's largest home smart charging trials with nearly 700 EV owners taking part in the 18-month trial. Between them, our trial participants provided data for more than 2 million hours of car charging data. Importantly they also gave us first hand feedback on what it is like living with an Electric Vehicle in the real world and how they found the smart charging experience. The results from Electric Nation have global significance and allow electricity distribution network planners to replace high level axioms with statistically robust facts. The lessons from this project will greatly assist local electricity networks in accommodating home Electric Vehicle charging whilst ensuring that drivers always have the ability to charge when they need to. Electric Nation was a 3 year project, which was funded using the National Innovation Allowance. We have made the pseudonymised trial data available for you to use, data available on this portal includes: * Greenflux charging transactions * CrowdCharge charging transactions

Spreadsheet of electric vehicle charging points (EVCPs) created to support the application process for their connection. Electricity networks require access to technical information, capacity, and power quality data, in order to assess individual applications for suitability to connect to the network.

This dataset contains the number of connections per primary and low carbon technology from April 2017

This dataset contains the number of enquiries per primary and low carbon technology from April 2017.

This is the second of three National Grid Electricity Distribution (NGED) short data challenges! The aims of these challenges include: 1. Demonstrating the value in making data openly available 2. Increasing the visibility of some of the challenges network operators face 3. Increase the understanding of the different ways to tackle some of these problems 4. Providing high quality and accurate benchmarks with which to enable innovation and research This challenge aims to estimate the increased demand created on primary substations by the installation of electric vehicle (EV) chargers. High uptakes of EVs will cause more strain on the distribution networks, especially at the low voltage level where there is limited headroom for high demand technologies such as EVs. Unfortunately, the amount of EV chargers installed, and hence the potential extra demand on a network, may be unknown, even to a distribution network operator (DNOs). However, DNOs do monitor the demand at the substation level and this shows the aggregated demand from all connected appliances and, in addition, many DNOs do have example data for EV demand. The ask for this challenge is whether this information can be combined with other data to help predict the increased demand generated from EV chargers on a network. All the slides from the kick-off and other information can be found on the [LinkedIn group](https://www.linkedin.com/groups/9025332/) and the recording from the kick-off event will be uploaded shortly after the event. The challenge page is here: https://codalab.lisn.upsaclay.fr/competitions/1324

Charging / usage information for the Replicate-provided EV charging points in Bristol, April 2020.