Under the evolving modern power system, user-side load structures and consumption behaviors are becoming increasingly diversified, while grid–load interactions are growing more frequent. These changes pose new challenges for load characteristic analysis amid the energy transition. The advancement of metering automation has generated massive power consumption data, offering rich insights for load modeling and applications. This paper presents a comprehensive review of intelligent analysis and applications of load characteristics in new power systems. It begins by outlining a systematic framework for load analysis and summarizing relevant public datasets. Then, it synthesizes existing research from three perspectives: load feature analysis and user profiling, interactive aggregation behaviors under market mechanisms, and practical applications. Finally, this paper discusses platform development practices for big data and highlights future research challenges and directions.
Xu et al. (Thu,) studied this question.