Deep learning based predictive compensation of flicker, voltage dips, harmonics and interharmonics in electric arc furnaces

HIGHLIGHTS

• who: Furnaces and colleagues from the Chalmers University of Technology, Deptof Electrical Engineering, Gothenburg, Sweden , Gazi University, Deptof Electrical and Electronics Engineering, Ankara, Turkey have published the research work: Deep Learning Based Predictive Compensation of Flicker, Voltage Dips, Harmonics and Interharmonics in Electric Arc Furnaces, in the Journal: (JOURNAL)
• what: -In this research work deep machine learning based methods together with a novel data augmentation are developed for predicting dip and interharmonics originating from highly time-varying electric arc furnace (EAF) currents and The work presented in this paper proposes three different approaches to mitigate . . .
  

   

  

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