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A Real-Time Online Security Situation Prediction Algorithm for Power Network Based on Adaboost and SVM

  • Haizhu WangEmail author
  • Wenxin Guo
  • Ruifeng Zhao
  • Bo Zhou
  • Chao Hu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 895)

Abstract

The power network has a great impact on the national economy, and power accidents will cause great losses. Therefore, strengthening the mastery and control of the online security situation of the power network timely has become a topic of widespread concern. The traditional power network online security situation prediction algorithms have low accuracy and efficiency. In this paper, Adaboost and SVM are combined to predict real-time online security situation of power network, and an experimental analysis is carried out. Compared with the traditional methods, this method has certain improvement in the correctness and efficiency of the algorithm.

Keywords

Power network Adaboost SVM Security situation prediction 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Haizhu Wang
    • 1
    Email author
  • Wenxin Guo
    • 1
  • Ruifeng Zhao
    • 1
  • Bo Zhou
    • 2
  • Chao Hu
    • 2
  1. 1.Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd.GuangzhouChina
  2. 2.NARI Information & Communication Technology Co., Ltd.NanjingChina

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