Research on intelligent transformation of power grid based on artificial intelligence algorithm

The new generation of information technology, represented by artificial intelligence, 5G, big data, etc., has widely empowered all walks of life. The "carbon peak" and "carbon neutrality" of power are promoting the green transformation and upgrading of the industry, and are promoting the development of the power grid to a smarter, more ubiquitous and more friendly energy Internet. The power network is complex, the facilities and equipment are complex, the number of customer groups is huge, and the value of power big data has not been fully released, so it is urgent to introduce digital means to promote business transformation. The digital power business is in the ascendant, and it is urgent to rely on the resource advantages of the main business of the power grid to expand and strengthen the industrialization of digital business, open up new blue oceans, and cultivate new kinetic energy. However, at present, artificial intelligence has not been effectively practiced in many business scenarios of power enterprises, and its role in business operation, management, and service has not been significantly highlighted. At the same time, it is also seen that the proportion of artificial intelligence applications in many fields such as intelligent substations, intelligent production safety management and control, and data empowerment is generally low. Therefore, it is necessary to explore artificial intelligence to help the digital transformation of Liaoning power grid, which can not only effectively accelerate the transformation and development of power grid construction and ensure the safety of power operation, but also comprehensively promote the rapid development and progress of the power field.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1117/12.3049399
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on intelligent transformation of power grid based on artificial intelligence algorithm

Zhuohang Wu, Fengxi Gao, Qixiang Wang, Mingxuan Lu et al.
Power Systems and Technologies
article

Research on intelligent transformation of power grid based on artificial intelligence algorithm

Zhuohang Wu, Fengxi Gao, Qixiang Wang, Mingxuan Lu, Xing He, Yi Liang, Zhentao Han
article en

Abstract

The new generation of information technology, represented by artificial intelligence, 5G, big data, etc., has widely empowered all walks of life. The "carbon peak" and "carbon neutrality" of power are promoting the green transformation and upgrading of the industry, and are promoting the development of the power grid to a smarter, more ubiquitous and more friendly energy Internet. The power network is complex, the facilities and equipment are complex, the number of customer groups is huge, and the value of power big data has not been fully released, so it is urgent to introduce digital means to promote business transformation. The digital power business is in the ascendant, and it is urgent to rely on the resource advantages of the main business of the power grid to expand and strengthen the industrialization of digital business, open up new blue oceans, and cultivate new kinetic energy. However, at present, artificial intelligence has not been effectively practiced in many business scenarios of power enterprises, and its role in business operation, management, and service has not been significantly highlighted. At the same time, it is also seen that the proportion of artificial intelligence applications in many fields such as intelligent substations, intelligent production safety management and control, and data empowerment is generally low. Therefore, it is necessary to explore artificial intelligence to help the digital transformation of Liaoning power grid, which can not only effectively accelerate the transformation and development of power grid construction and ensure the safety of power operation, but also comprehensively promote the rapid development and progress of the power field.

Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 84%
Power Systems and Technologies
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.