基于电力大数据模糊评价的综合能源项目挖掘优选策略

Mining and optimal selection strategy of integrated energy project based on fuzzy evaluation of power big data

中文关键词: 综合能源服务  模糊聚类  电力大数据  能源互联网

英文关键词: integrated energy service system  fuzzy clustering  big power data  energy internet

中文摘要:

      随着电力体制改革和能源互联网产业发展，开展综合能源服务将是电网企业转型的重要方向。聚焦供电公司掌握客户用电负荷、电量、缴费等大数据的挖掘应用，从客户信用、客户价值、客户风险3个维度，构建了包含月均预存比例、月均欠费次数、月均停电次数等9项具体指标的综合能源项目挖掘培育评价指标体系，提出了基于电力大数据模糊评价的综合能源项目挖掘优选算法，利用电力大数据评估潜在客户的内部状况，从而为挖掘优质潜在客户提供了一定支撑。最后以8家随机客户进行案例分析，结果表明了该方法的有效性。

英文摘要:

      With the reform of power system and the development of energy Internet industry, developing integrated energy service will be an important direction of business transformation of power enterprises. Focusing on the mining and application of power supply companies’big data, such as electricity load, electricity quantity, payment and so on, from 3 dimensions of customer credit,customer value and customer risk, an integrated energy project mining and cultivation evaluation index system is constructed. The index system includes 9 specificmdicators, such as monthly average pre-deposit ratio, monthly average times of arrears, and monthly average times of power outage. Optimization strategy of integrated energy project based on fuzzy evaluation is proposed, which uses big data to evaluate the internal conditions of potential customers, thus providing certain support for mining high - quality potential customers. Finally, taking 8 random customers for the case study, the results show the effectiveness of the method based on the project evaluation index system.