铜陵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）。

This dataset provides three-tier services for vehicle owners, charging station operators, and government authorities by monitoring charging station price data, real-time idle status of charging piles, and integrating green energy supply data:
1. For vehicle owners: Intelligently recommend charging stations in accordance with the principles of "optimal price, fastest charging speed, priority to green electricity", support on-site charging, reservation and off-peak charging to balance cost savings and low-carbon objectives;
2. 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;
3. For government authorities: Aggregate regional data on charging prices, load distribution, and green electricity absorption to support 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 target charging stations from the database;
2. Data Processing: Calculate the average charging price based on the collected fee data; further extract the peak price (annual maximum price) and trough price (annual minimum price) of the charging station's annual price data; compute the positive fluctuation value using the formula [(Annual Maximum Price - Charging Station's Electricity Price) / Charging Station's Electricity Price] × 100%; compute the negative fluctuation value using the formula [(Annual Minimum Price - Charging Station's Electricity Price) / Charging Station's Electricity Price] × 100%; finally 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

该数据集聚焦铜陵市充电站的价格浮动情况，提供每日更新的详细数据，包括收费价格、均价、浮动区间、充电速度和电站空闲状态等关键指标。它通过算法计算价格浮动值，旨在为车主智能推荐充电站、为运营方优化电价策略、为政府辅助政策制定，实现省钱、高效和低碳的多层服务目标。