南通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 and real-time idle status of charging piles, combined with green energy supply data, this dataset delivers three-tier services for vehicle owners, charging station operators and governmental authorities:

- For vehicle owners: Intelligently recommend charging stations in accordance with the principles of "optimal price, fastest charging speed, priority for green electricity", supporting on-site charging, reservation and off-peak charging to balance cost efficiency 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 operation and 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 facilitate policy formulation and tracking of the dual-carbon targets.

1. Data Collection: Extract the maximum and minimum charging fees of charging stations and the real-time idle status of charging piles from the database;

2. Data Processing:
- Calculate the average charging price based on the collected fee data;
- Extract the peak value of the maximum charging price and the trough value of the minimum charging price of the target charging station, which are respectively taken as the annual maximum price and annual minimum price of this dataset;
- Calculate the positive fluctuation value as ((annual maximum price - charging station electricity price) / charging station electricity price) * 100%, and the negative fluctuation value as ((annual minimum price - charging station electricity price) / charging station electricity price) * 100%;
- Determine the fluctuation interval of the average price as (negative fluctuation value ~ positive fluctuation value) based on the calculated positive and negative fluctuation values.

搜集汇总

背景与挑战

背景概述

该数据集聚焦南通市充电站的价格浮动分析，包含收费价格、均价、最高价、最低价、浮动值、充电速度及电站空闲状态等关键字段，每日更新，规模达700条以上。它通过算法处理充电站数据，计算价格浮动区间，旨在为车主提供智能充电推荐、为运营方优化电价策略、为政府辅助政策制定，支持绿色能源和双碳目标追踪。