Integration of electric vehicles into the grid: A net-zero carbon future

该项目旨在开发机器学习技术，以改善电动汽车与电网的整合。能源和运输部门的排放量占总排放量的75%以上，能源分销商在支持电动汽车和全电动建筑方面发挥着关键作用。预期的结果包括数字和数据驱动技术，以识别电动汽车充电概况，并使用车辆到电网技术来支持电网。结果将使电力分销商能够满足电气化运动所需的大量需求，同时保持电力供应的可靠性和可负担性。这将为向净零排放的未来过渡提供巨大的好处。

The project aims to develop machine learning technologies to improve integration of electric vehicles into the grid. The energy and transport sectors contribute to more than 75% of the emissions and energy distributors have a critical role in supporting the uptake of electric vehicles and all-electric buildings. Expected outcomes include digital and data-driven technologies to identify EV charging profiles and use vehicle-to-grid technology to support the grid. The outcomes will enable electricity distributors to accommodate massive demand required by the electrification movement, whilst maintaining reliability and affordability of the electricity supply. This will provide significant benefits in the transition to a net-zero future.