Editor’s Profile

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Dr. Ashok S.

Designation : Professor

Affiliation : National Institute of Technology Calicut, India, 673601

Expertise: Peak Load Management, Energy Management, Energy Modelling, Renewable Energy, Harmonics and Power Quality, Regulatory Economics, Switchgear & Protection, Illumination Engg., Industrial Automation

Institution Profile Link : https://nitc.ac.in/department/electrical-engineering/faculty-and-staff/faculty/9a77e9d0-507d-420d-8b5d-b0ac85f1f274

Offical Email :

Role: Editor

Journal: Trends in Electrical Engineering

About Me

Professor in Electrical and Electronic Engineering at
National Institute of Technology, Calicut, India
My expertise are Peak Load Management, Energy Management, Energy Modelling, Renewable Energy, Harmonics and Power Quality, Regulatory Economics, Switchgear & Protection, Illumination Engg., Industrial Automation


Recent Publications

  1. Narayanankutty R A, Sankar A, Sundaramoorthy K. Modeling and scheduling of residential electric loads for energy self-sufficiency. Int J Numer Model El. 2020; e2782. https://doi.org/10.1002/jnm.2782
  2. Khushboo Gupta, Ravishankar Achathuparambil Narayanankutty, Kumaravel Sundaramoorthy & Ashok Sankar (2020): Optimal location identification for aggregated charging of electric vehicles in solar photovoltaic powered microgrids with reduced distribution losses, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. https://www.tandfonline.com/doi/abs/10.1080/15567036.2020.1745335
  3. Krishnan, M.G., Vijayan, A.T. and S., A. (2020), “Interfacing an industrial robot and MATLAB for predictive visual servoing”, Industrial Robot, Vol. ahead-of-print No. ahead-ofprint. https://doi.org/10.1108/IR-05-2020-0100
  4. M. G. Krishnan and S. Ashok, Neural network‐assisted robotic vision system for industrial applications, Asian Journal of Control, pp. 1–17, 2021, doi: https://doi.org/10.1002/asjc.2600
  5. Radhakrishnan, R.M., Sankar, A. and Rajan, S. (2020), Synchrophasor based islanding detection for microgrids using moving window principal component analysis and extended mathematical morphology. IET Renew. Power Gener., 14: 2089-2099. https://doi.org/10.1049/ietrpg.2019.1240