Three-Dimensional Maturity Model of Regional Power Users Against the Background of the Ubiquitous Power Internet of Things

As the Ubiquitous Power Internet of Things (UPIoT) is being developed, the data volume collected by various terminals such as smart electricity meters is increasing daily. The efficient extraction of information from massive data and the provision of value-added services to users, power grids, and market entities are crucial aspects and research directions. A data analysis and application framework for smart meter data based on cloud-fog computing and data contextualization is established, and a data contextualization model based on three-dimensional (3d) maturity analysis of industrial power users is proposed to evaluate the power consumption characteristics of users from the three aspects of the load level, power consumption behavior, and interaction. The results of a case study show that this model allows power grid operators to understand quickly and intuitively the load behavior pattern and power demand of industrial power users, thereby enabling an efficient and accurate assessment of the power supply and an ability to provide value-added services.