基于大数据的电网生产、经营预测分析应用

Application of power grid production and operation forecast analysis based on big data

由于各行业用电客户的用电量与气候变化、产业结构调整、经济宏观环境、政府宏观调控和人民生活水平提高等多因素息息相关,各行业用电发展规律不一。为此,我们探索其用电规律,拟建立客户用电与经济、社会、气候环境和企业经营动态等影响因素的大数据分析模型。通过模型的分析和应用,挖掘客户用电量、负荷与各非电因素的隐藏关联关系,从而科学预测某一客户群体或行业的电力需求变化规律。进而把电网的生产运行方式、有序用电等工作的出发点和落脚点放到满足客户个性化需求上。

Due to many factors closely related to electricity customers of electricity consumption and climate change,the adjustment of industrial structure,economic macro environment,the industry government macro-control and improve people＇s living standards,the laws of the development of the electricity industry is different.To this end,we explore the law of its use,to build up a large data analysis model of the impact factors of customer electricity and economic,social,climate environment and enterprise management.Through the analysis and application of the model,mining the hidden relationship between customer power consumption,load and the non electric factors,so as to predict the change law of the power demand of a certain customer group or industry.And then the power grid production and operation mode,and orderly use of electricity and other work of the starting point and the end result to meet customer demand for personalized.