A Review of Intelligent Analysis and Applications of Load Characteristics in Modern Power Systems

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Authors: Zhiheng Xu, Ziqing Yang, Chong Gao, Ran Cheng, Fengneng Li, Huahui Zhang, Xiaolei Hu, Qingquan Luo, Tao Yu
Cited by: 1
References: 82

Abstract

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.

Fields of Study & Subjects

Smart Grid Energy Management Energy Load and Power Forecasting Power System Optimization and Stability

Publication details

Journal / source
Energies
Publisher
MDPI AG
Volume
19
Issue
8
Pages
1927–1927
Publication date
16 April 2026
Language
EN