多城市新能源汽车充电数据

包括多城市新能源汽车的充电桩状态数据集和多城市新能源汽车的充电需求数据集。时间范围为2019年12月4日16时30分至2020年1月15日8时30分。时间精度为分。空间范围为北京市、天津市、广州市行政区域。站点经纬度坐标的空间精度为32位浮点数。充电需求的计算方式为用被占用的充电桩数量除以总充电桩数量得到充电桩占用比例，即充电需求。多城市新能源汽车充电桩状态数据集：数据体量17.9MB。多城市新能源汽车的充电需求数据集：从多城市新能源汽车的充电桩状态数据集衍生而来。数据集分为三个部分，分别命名为all_demand_城市.npy，demand_城市.npy和demand_avg_城市.npy，数据体量23MB。

This dataset contains two subsets: the charging pile status dataset for new energy vehicles across multiple cities, and the charging demand dataset for new energy vehicles across multiple cities.
The temporal range spans from 16:30 on December 4, 2019 to 08:30 on January 15, 2020, with a temporal precision of one minute.
The spatial scope covers the administrative regions of Beijing, Tianjin, and Guangzhou. The spatial precision of the station's longitude and latitude coordinates is 32-bit floating-point numbers.
The charging demand is defined as the charging pile occupancy rate, which is calculated by dividing the number of occupied charging piles by the total number of charging piles.
The charging pile status dataset for new energy vehicles across multiple cities has a data volume of 17.9 MB.
The charging demand dataset for new energy vehicles across multiple cities is derived from the aforementioned charging pile status dataset. This dataset is divided into three components, named all_demand_city.npy, demand_city.npy, and demand_avg_city.npy respectively, with a total data volume of 23 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含多城市新能源汽车的充电桩状态和充电需求数据，时间范围为2019年12月至2020年1月，覆盖北京、天津和广州三个城市，数据以分钟精度记录。数据集由充电桩状态原始数据（17.9MB）和衍生充电需求数据（23MB）组成，共3个文件，用于分析新能源汽车充电行为，但空间范围有限，仅代表特定区域。