Research on Data Management and User Profiling Technologies that Support Value-added Smart Energy Services

This paper discusses the connotation of big data-based smart electricity consumption technology with the premise of intelligent analysis and processing of massive amounts of data and information. This paper proposes the technical architecture of a flexible, interactive smart electricity consumption big data platform, including the sensing layer, analysis layer, and application layer, focuses on key technologies such as big data storage, processing, analysis, and presentation, and conducts in-depth research on functional applications such as user characteristic classification, load prediction, and energy efficiency analysis of electricity consumption. Finally, based on the actual promotion of flexible and interactive electricity consumption and the current research status of big data technology, several suggestions and considerations are put forward to promote the application of big data technology in intelligent electricity consumption.