Research on application of big data and machine learning in emergency power restoration in residential areas

Qingyu Zhi; Xu Chen; Yanan Li; Xu Chen; Ke Xiao

doi:10.1117/12.3024693

13 May 2024 Research on application of big data and machine learning in emergency power restoration in residential areas

Qingyu Zhi, Xu Chen, Yanan Li, Xu Chen, Ke Xiao

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 13159AK (2024) https://doi.org/10.1117/12.3024693
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

This study focuses on the application of big data and machine learning technology in emergency power repair in residential communities. With the acceleration of urbanization, the stable operation of power system is very important for modern urban life, while the traditional power system repair methods face many challenges. Through empirical research, this paper shows how big data analysis and machine learning models, especially random forests and support vector machines (SVM), can be used to improve the accuracy and efficiency of fault diagnosis. Experimental results show that these methods are superior to traditional methods in key performance indicators such as accuracy, recall rate and F1 score. In addition, the paper also explores the role of big data in resource optimal allocation and user interaction enhancement, and finds that data-driven approaches can significantly improve the efficiency of resource allocation and user satisfaction. The study highlights the potential of machine learning techniques in predicting and dealing with power system failures, while also revealing the possibility of optimizing resource allocation and improving user service experiences. These improvements are critical to improving the reliability of the power supply and reducing outages.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qingyu Zhi, Xu Chen, Yanan Li, Xu Chen, and Ke Xiao "Research on application of big data and machine learning in emergency power restoration in residential areas", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 13159AK (13 May 2024); https://doi.org/10.1117/12.3024693

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