惠州市充电站价格浮动综合分析数据

通过监测充电站价格数据和充电桩实时空闲状态，结合绿色能源供给数据，为车主、运营方、政府提供三层服务： 车主：按 “价格最优、速度最快、绿电优先” 智能推荐充电站，支持即充、预约、错峰充电，兼顾省钱与低碳； 运营方：实时分析价格浮动、桩位占用等数据，动态调整电价和设备运维策略，提升充电桩利用率； 政府：汇总区域充电价格、负荷分布、绿电消纳等数据，辅助政策制定和双碳目标追踪。1、数据采集：从数据库中提取充电站关于充电收费最高价与最低价及充电桩空闲情况：2、处理数据：根据收费价格的平均值得出均价，进一步提取充电站中最高价的峰值与最低价的谷值，该峰值与谷值分别作为该数据的年最高价与年最低价，进一步将(年最高价与充电站电价的差）/充电站电价*100%，从而得出+浮动值，进一步将(年最低价与充电站电价的差）/充电站电价*100%，从而得出-浮动值，进一步根据得出的+浮动值与-浮动值确定均价的浮动区间（-浮动值~+浮动值）。

By monitoring charging station price data, real-time idle status of charging piles and integrating green energy supply data, this dataset offers three-tier services for vehicle owners, charging station operators and governmental authorities:
For vehicle owners: Intelligently recommend charging stations adhering to the principles of "lowest price, fastest charging speed, priority for green electricity", support on-demand charging, reservation and off-peak charging, balancing cost savings and low-carbon objectives;
For charging station operators: Conduct real-time analysis of data such as price fluctuations and pile occupancy, dynamically adjust electricity pricing and equipment maintenance strategies to enhance the utilization rate of charging piles;
For governmental authorities: Aggregate regional data including charging prices, load distribution and green electricity consumption, to assist policy formulation and tracking of the dual-carbon goals;
1. Data Collection: Extract the maximum and minimum charging fees as well as the idle status of charging piles of target charging stations from the database;
2. Data Processing: First calculate the average price based on the collected charging fees; further extract the peak value (annual maximum price) and valley value (annual minimum price) of the charging station's price range, which are respectively designated as the annual maximum and minimum prices of this dataset. Then calculate the positive fluctuation value as ((annual maximum price - station's charging price) / station's charging price) * 100%, and the negative fluctuation value as ((annual minimum price - station's charging price) / station's charging price) * 100%. Finally, determine the fluctuation interval of the average price as (-negative fluctuation value ~ positive fluctuation value) based on the obtained positive and negative fluctuation values.

搜集汇总

背景与挑战

背景概述

该数据集包含惠州市充电站的586条每日更新数据，涵盖收费价格、均价、年最高价、年最低价、浮动值以及充电桩空闲状态等信息，用于分析价格浮动和优化充电服务。它支持车主、运营方和政府的三层应用，包括智能推荐充电站、动态电价调整和政策制定，基于算法计算价格浮动区间以提升利用率和绿色能源使用。