Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms

• Main Authors: Hou, Hui, Yu, Shiwen, Wang, Hongbin, Huang, Yong, Wu, Hao, Xu, Yan, Li, Xianqiang, Geng, Hao
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: DRNTU::Engineering::Electrical and electronic engineering; Power Tower; Typhoon
• 在線閱讀: https://hdl.handle.net/10356/106260; http://hdl.handle.net/10220/48903; http://dx.doi.org/10.3390/en12020205

For power system disaster prevention and mitigation, risk assessment and visualization under typhoon disaster have important scientific significance and engineering value. However, current studies have problems such as incomplete factors, strong subjectivity, complicated calculations, and so on. The...