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A wavelet feature-based neural network approach to estimate electrical arc characteristics

  • Published:2022-07 Issue: Volume:208 Page:107893
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Farzanehdehkordi Mahshid,Ghaffaripour Shadan,Tirdad Kayvan,Dela Cruz AlexORCID,Sadeghian AlirezaORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference54 articles.

1. The Importance of Steel Manufacturing to Canada – A research study, Munk School of Global Affairs;Warrian,2010

2. Electric arc furnace modelling from a “Power Quality” point of view;Vervenne,2007

3. C. Sankaran, Power Quality, Taylor & Francis Inc, 2001.

4. Application of radial basis function networks to model electric arc furnaces;Sadeghian,1999

5. A hybrid wavelet transform and neural-network-based approach for modelling dynamic voltage-current characteristics of electric arc furnace;Chang;IEEE Trans. Power Delivery,2014

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