浙江工业企业电力使用信用评价数据

对数据中台的线上工业企业用电数据进行分析挖掘，结合企业信用信息数据，完成浙江工业企业电力使用信用评价数据产品的开发，帮助企业提升用电管理策略，提升经济效益，增强企业的市场竞争力，为后续金融机构为企业授信提供数据支撑，为后续政府制定产业政策提供参考依据。1、数据清洗：对数据集进行清洗，包括去除异常数据、处理缺失值、 2、数据转换: 对企业用电数据进行治理转换，形成企业用电数据宽表模型。 3、隐私计算：通过隐私计算平台将企业用电数据与企业信用数据进行隐私计算，最后得出浙江工业企业电力使用信用评价数据产品。Analysis and mining are performed on the electricity consumption data of online industrial enterprises hosted on the data middle platform. By integrating enterprise credit information data, the credit evaluation data product for electricity consumption of Zhejiang's industrial enterprises is developed. This product assists enterprises in optimizing their electricity management strategies, boosting economic benefits, enhancing their market competitiveness, providing data support for subsequent credit granting by financial institutions to enterprises, and offering reference bases for the government to formulate industrial policies. 1. Data Cleaning: Clean the dataset, including removing abnormal data and handling missing values, 2. Data Transformation: Govern and transform the enterprise electricity consumption data to establish a wide-table model for enterprise electricity consumption data. 3. Privacy Computing: Conduct privacy computing between enterprise electricity consumption data and enterprise credit data via a dedicated privacy computing platform, and finally derive the credit evaluation data product for electricity consumption of Zhejiang's industrial enterprises.

搜集汇总

数据集介绍

特点

该数据集包含浙江工业企业的电力使用数据，涵盖多个用电相关字段，用于信用评价。数据规模600条，每月更新，适用于企业用电管理、金融机构授信和政府政策制定。