淮北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 combining with green energy supply data, this dataset provides three-tier services for vehicle owners, charging station operators and governments:
For vehicle owners: Intelligently recommend charging stations based on the principles of "optimal price, fastest speed, priority to green electricity", support on-site charging, reservation and off-peak charging, balancing cost savings and low-carbon goals;
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 improve the utilization rate of charging piles;
For governments: Aggregate regional charging price, load distribution and green energy consumption data to assist policy formulation and tracking of the dual-carbon goals.
1. Data Collection: Extract the maximum and minimum charging fees and the idle status of charging piles of target charging stations from the database;
2. Data Processing: Calculate the average charging price based on the average of the collected charging fees; further extract the peak price (annual maximum price) and trough price (annual minimum price) of the charging station's fee fluctuations; calculate the positive fluctuation value as [(annual maximum price - the station's electricity price) / the station's electricity price] * 100%, and the negative fluctuation value as [(annual minimum price - the station's electricity price) / the station's electricity price] * 100%; finally determine the floating interval of the average price as (-negative fluctuation value ~ positive fluctuation value) based on the two calculated fluctuation values.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于淮北市充电站的价格浮动综合分析，以xlsx格式每日更新，包含充电价格、浮动区间、空闲电站数等关键字段，规模超过511条。它通过实时监测价格和空闲状态，结合绿色能源数据，为车主提供智能充电推荐，为运营方优化电价策略，并辅助政府追踪双碳目标，具有明确的数据处理算法和区块链存证保障。