储能电池回收价格走势分析数据

通过采集废旧储能蓄电供应方和采购方的电池的品类、材料体系以及对应时间的电池单价，分析废旧储能蓄电池的历史市场价格，建立废旧储能蓄电池的价格预测函数，预测不同类型废旧储能蓄电池的未来市场价格，为市场供需双方提供价格走势预测。1.数据来源 对平台中废旧储能蓄电池供应信息和采购信息进行采集，具体包括采购、供应两方的电池结构、品类、形状、材料体系、单价数据等。 2.数据处理 根据采集的数据分析不同品牌、材料的电芯/模组的价格走势，按时间顺序排列数据，选取供应出货的时间和对应的单价，生成价格折线；对价格折线利用一元线性回归（此方法以最小二乘法为基础）生成不同类型电池的价格趋势线，该价格趋势线的线性公式y = -Ax + B，(其中y为电池价格，x为时间，A和B均为某类型电池价格趋势线的常数，例如A可以是0.0972，B可以是3958.2)； 2将未来某一时间数据（比如60d）带入，并结合供需关系等因素，由专业人员进行判断微调，得出价格的预测数值；可根据不同其类型电池价格，按同类方法可以计算出各自类型的价格趋势。 3.数据应用 通过分析废旧储能蓄电池的历史市场价格，建立废旧储能蓄电池的价格预测函数，预测不同类型废旧储能蓄电池的未来市场价格，为市场供需双方提供价格指导。

This dataset collects the battery category, material system and corresponding unit price at the corresponding time from the suppliers and purchasers of waste energy storage batteries, analyzes the historical market prices of waste energy storage batteries, establishes a price prediction function for waste energy storage batteries, predicts the future market prices of different types of waste energy storage batteries, and provides price trend prediction services for market supply and demand parties.

1. Data Source
Collect supply and purchase information of waste energy storage batteries from the platform, specifically including battery structure, category, shape, material system, unit price data and other relevant information from both purchasers and suppliers.

2. Data Processing
First, analyze the price trends of cells/modules of different brands and materials based on the collected data; sort the data in chronological order, select the supply shipment time and corresponding unit price to generate price line charts; use univariate linear regression (based on the least squares method) on the price line charts to generate price trend lines for different types of batteries. The linear formula of the price trend line is y = -Ax + B, where y is the battery price, x is the time, and both A and B are constants of the price trend line for a certain type of battery (for example, A can be 0.0972 and B can be 3958.2).
Second, substitute the data of a future time (such as 60 days) into the formula, combine with factors such as supply and demand relationship, and conduct manual adjustment based on professional judgment to obtain the predicted price value; the price trend of each type of battery can be calculated using the same method based on the price of different types of batteries.

3. Data Application
By analyzing the historical market prices of waste energy storage batteries, establish a price prediction function for waste energy storage batteries, predict the future market prices of different types of waste energy storage batteries, and provide price guidance for market supply and demand parties.

搜集汇总

数据集介绍

特点

该数据集名为'储能电池回收价格走势分析数据'，包含11281条数据，每季度更新一次。数据来源于企业，主要用于分析废旧储能蓄电池的历史市场价格，并通过一元线性回归等方法预测未来市场价格，为市场供需双方提供价格指导。