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

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.

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-04-16
DOI
https://doi.org/10.3390/en19081927
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ziqing Yang, Xiaolei Hu, Fengneng Li, Qingquan Luo et al.
Energies
Smart Grid Energy Management
article

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

Ziqing Yang, Xiaolei Hu, Fengneng Li, Qingquan Luo, Ran Cheng, Zhiheng Xu, Chong Gao, Huahui Zhang, Tao Yu
article en

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.

EnergiesVol. 19(8)
China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN), South China University of Technology (CN)
China Southern Power Grid
Affordable and clean energy
Openalex Percentile: Top 22%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.