Application exploration of power grid project management based on big data analysis technology
DOI:
https://doi.org/10.54097/xaxqk861Keywords:
Big data analysis, power grid project management, intelligence, risk prediction.Abstract
With the rapid advance of the digital transformation of the power grid, the power system is and will enter the digital era. Relying on advanced measurement, transmission and storage technologies, power grid project management will generate massive data in all aspects, and show a blowout growth trend. This paper analyzes the typical application scenarios of big data analysis technology in power grid project management, and proposes an effective solution for power grid project management based on the effective mining of data value by big data analysis technology. The proposal of this paper is of great significance for improving the intelligent level of power grid project management and further effectively supporting the construction of power grid projects.
Downloads
References
[1] Zhang Feng. Intelligent Monitoring and Early Warning System for Electric Power Safety using Artificial Intelligence Approach[C]//2024 Second International Conference on Data Science and Information System (ICDSIS), IEEE, 2024: 1-5.
[2] Liang Yingwei, Jiang Jiang, Feng Xinyao. Construction and Analysis of Power Grid Monitoring Data Processing System under the Background of Big Data[C]//ACM, New York, NY, USA: ACM, 2022:
[3] Wang Shaoying, Yang Huifeng, Gao Lifang. Power Terminal Data Security and Efficient Management Mechanism Based on Master-Slave Blockchain[C]//Proceedings of the 11th International Conference on Computer Engineering and Networks (CENet2021) Part II, 2021: 22-29.
[4] Fei Peng, Wenlong Zeng, Peng Zhang. Application of blockchain technology in power grid engineering safety and big data storage management[C]//IEEE, IEEE, 2021:
[5] Li Dacan, Gong Yuanyuan, Shen Shufei. Research and Design of Meteorological Disaster Early Warning System for Power Grid Based on Big Data Technology[C]//2020 Asia Energy and Electrical Engineering Symposium (AEEES), IEEE, 2020: 658-662.
[6] Hou Jinxiu, Lv Ying, Yu Zhihong. Research on Real Power Grid Security and Stability Based on Big Data Analysis Method and Online Data of Power Grid[C]//IEEE, IEEE, 2018:
[7] Liu Cuiling, Xiao Jiakai, Yao Zhen. Optimization of Distribution Network Data Management Mode Based on BP Neural Network Algorithm and Atlas Technology[C]//2023 2nd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS), IEEE, 2023: 11-15.
[8] Guo Yusong, Dai Caiyan, Wang Junliang. Research on Text Mining Technology for Power Grid Safety Hazard Identification[C]//2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE), IEEE, 2023: 851-856.
[9] Liqing Guo, Limin Huo, Liwei Cui. Construction of Virtual Private Network for remote disaster-tolerant channel based on SG186 Network[C]//2011 International Conference on Electrical and Control Engineering, IEEE, 2011: 2077-2080.
[10] Li Zhizhong, Zhang Kun, Qiu Shengmin. Key Technologies of Power Grid Auxiliary Decision-Making Based on Artificial Intelligence[C]//2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE), IEEE, 2024: 1028-1032.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







