Fault detection of uhv converter valve based on optimized cost-sensitive extreme random forest

HIGHLIGHTS

• who: Fuqiang Xiong and collaborators from the State Grid Hunan Extra High Voltage Substation Company, Changsha, China School of Energy and Power Engineering, Changsha University of Science and Technology have published the article: Fault Detection of UHV Converter Valve Based on Optimized Cost-Sensitive Extreme Random Forest, in the Journal: Energies 2022, 8059 of /2022/
• what: In Reference , random forest (RF) and AdaBoost models were investigated for islanding detection techniques for synchronous power generation, the performance was quantified using parameters such as total harmonic distortion (THD), and the experiments showed that the proposed model has . . .
  

   

  

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