Application Prospect of New Power System Based on Generative Artificial Intelligence

Generative artificial intelligence (AIGC) is an artificial intelligence technology based on generative models, which has powerful capabilities to process and generate video, text, audio, and other content, and can understand and generate interactive information of multimodal complex content. This article focuses on the construction needs of new power systems. Firstly, it introduces the basic principle architecture, underlying models, and application advantages of AIGC. Secondly, based on this, it summarizes the application principles and implementation process of AIGC in four major scenarios: power system prediction, new power system analysis and planning, fault diagnosis and recovery, and power trading assistance. Compared with traditional artificial intelligence technology, it has significant advantages in small sample and multimodal task processing. Finally, the article proposes six solutions from the perspectives of dataset, computing power, and algorithm, taking into account the risks faced in the application of AIGC. These solutions provide a reference for promoting the practical application of AIGC in the power system.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991506
Citations
1
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application Prospect of New Power System Based on Generative Artificial Intelligence

Hang Fan, Xiao Tan, Shuaikang Wang, Hui Qi et al.
1 citations
Smart Grid and Power Systems
0.21
article

Application Prospect of New Power System Based on Generative Artificial Intelligence

Hang Fan, Xiao Tan, Shuaikang Wang, Hui Qi, Yunjie Duan, Xudong Zhao, Hanhan Qian, Tao Zhou, Honghu Cheng, Chen Zhang, Zhihui Zhang, Wei Zhang, Dong Wei, Dunnan Liu, Liuqing Yang
article en
1 citations

Abstract

Generative artificial intelligence (AIGC) is an artificial intelligence technology based on generative models, which has powerful capabilities to process and generate video, text, audio, and other content, and can understand and generate interactive information of multimodal complex content. This article focuses on the construction needs of new power systems. Firstly, it introduces the basic principle architecture, underlying models, and application advantages of AIGC. Secondly, based on this, it summarizes the application principles and implementation process of AIGC in four major scenarios: power system prediction, new power system analysis and planning, fault diagnosis and recovery, and power trading assistance. Compared with traditional artificial intelligence technology, it has significant advantages in small sample and multimodal task processing. Finally, the article proposes six solutions from the perspectives of dataset, computing power, and algorithm, taking into account the risks faced in the application of AIGC. These solutions provide a reference for promoting the practical application of AIGC in the power system.

North China Electric Power University (CN)
Openalex Percentile: Top 43%
Smart Grid and Power Systems
0.21
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.

Application Prospect of New Power System Based on Generative Artificial Intelligence — Hang Fan, Xiao Tan, et al. · (2024) | TGRS Research Map | TGRS