温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：将每日的最低价与最高价分别进行累加，进而得到A（最低价总和）与B（最高价总和），进一步通过公式（A+B）/2/365得出的C（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的绝对值）/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的绝对值）/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）。

This dataset provides three-tiered services for vehicle owners, charging station operators and governments by monitoring charging station price data, real-time idle status of charging piles, and integrating green energy supply data.
For vehicle owners: Intelligently recommend charging stations following the principles of "optimal price, fastest charging speed, and priority for green electricity", supporting on-site charging, reservation and off-peak charging to balance 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 operation and maintenance strategies to improve the utilization rate of charging piles.
For governments: Aggregate regional charging price, load distribution and green electricity consumption data to assist policy formulation and tracking of the dual-carbon goals.

1. Data Collection: Extract the maximum and minimum charging fees and real-time idle status of charging piles of charging stations from the database.
2. Data Processing: Accumulate the daily minimum and maximum charging prices separately to obtain total minimum price (A) and total maximum price (B). Further calculate the average price (C) using the formula (A+B)/2/365. Extract the peak value of the daily maximum price and the trough value of the daily minimum price across all charging stations, which are respectively used as the annual maximum price and annual minimum price of the dataset. Then calculate the positive fluctuation value as (absolute value of the difference between the annual maximum price and the charging station's electricity price) / the charging station's electricity price * 100%, and the negative fluctuation value as (absolute value of the difference between the annual minimum price and the charging station's electricity price) / the charging station's electricity price * 100%. Finally, determine the fluctuation range 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

该数据集聚焦于温州市充电站的价格浮动综合分析，包含521条记录，每日更新，涵盖充电站名称、收费价格、均价、年最高价、年最低价、浮动值、充电速度和电站空闲状态等关键字段。通过算法处理充电站的最高价和最低价数据，计算出价格浮动区间，旨在为车主提供智能充电推荐，帮助运营方优化电价和设备运维策略，并辅助政府制定相关政策和追踪双碳目标。