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Dr. Kiran P

Assistant Professor (Level 11), School of Artificial Intelligence, Amritapuri

Qualification: Ph.D
kiranpp@am.amrita.edu
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Research Gate Profile
Scopus Author ID
Research Interest: Artificial Intelligence, Smart Grid, Data Science, Power System , AI/ML applications in Interdisciplinary areas.

Bio

Dr. Kiran P currently serves as Assistant Professor – Level 11, School of Artificial Intelligence, Amritapuri Campus. He completed his M.Tech with First Rank and Ph.D. from Amrita Vishwa Vidyapeetham. Prior to joining Amrita, he worked under various engineering institutions in teaching and research role from 2013 onwards. To his credit, he has produced various articles in SCI and Scopus indexed journals and conferences. His areas of interest include Artificial Intelligence, AI/ML Applications, Big Data Analytics in Smart Grid, Multi-agent System, Power System Economics, Control and Emerging Technologies.

Publications

Journal Article

Year : 2023

Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market

Cite this Research Publication : Kiran P, Vijaya Chandrakala, “Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market,” Expert Systems with Applications, July 2023, doi.org/10.1016/j.eswa.2023.121014

Publisher : Elsevier

Year : 2022

A New Agent-Based Machine Learning Strategic Electricity Market Modelling Approach Towards Efficient Smart Grid Operation

Cite this Research Publication : Kiran P., Vijaya Chandrakala K.R.M., Balamurugan S., Nambiar T.N.P., Rahmani-Andebili, Mehdi, “A New Agent-Based Machine Learning Strategic Electricity Market Modelling Approach Towards Efficient Smart Grid Operation”, Power Systems, Springer Nature, 2022.

Publisher : Springer Nature

Year : 2021

New interactive agent based reinforcement learning approach towards smart generator bidding in electricity market with micro grid integration

Cite this Research Publication : Kiran P., Vijaya Chandrakala K.R.M., New Interactive Agent Based Reinforcement Learning Approach towards Smart Generator Bidding in Electricity Market with Micro Grid Integration”, Applied Soft Computing Journal – Elsevier, Part A, December 2020, doi.org/10.1016/j.asoc.2020.106762

Publisher : Elsevier

Year : 2020

Roth-Erev Reinforcement Learning Approach for Smart Generator Bidding towards Long Term Electricity Market Operation Using Agent Based Dynamic Modeling

Cite this Research Publication : Kiran P. and Dr. Vijaya Chandrakala K. R. M., “Roth-Erev Reinforcement Learning Approach for Smart Generator Bidding towards Long Term Electricity Market Operation Using Agent Based Dynamic Modeling”, Electric Power Components and Systems, vol. 48, pp. 1-12, 2020.

Publisher : Electric Power Components and Systems

Year : 2020

Variant Roth-ErevReinforcement Learning Algorithm-Based Smart Generator Bidding as Agents in Electricity Market

Cite this Research Publication : Kiran P. and Dr. Vijaya Chandrakala K. R. M., “Variant Roth-ErevReinforcement Learning Algorithm-Based Smart Generator Bidding as Agents in Electricity Market”, Advances in Intelligent Systems and Computing, vol. 1048, pp. 991-1001, 2020.

Publisher : Advances in Intelligent Systems and Computing

Year : 2019

Agent based locational marginal pricing and its impact on market clearing price in a deregulated electricity market

Cite this Research Publication : Kiran P., Dr. Vijaya Chandrakala K. R. M., and T. N. P. Nambiar, “Agent based locational marginal pricing and its impact on market clearing price in a deregulated electricity market”, Journal of Electrical Systems, vol. 15, pp. 405–416, 2019.

Publisher : Journal of Electrical Systems

Year : 2013

Fault Analysis and Digital Protection of Busbars Using Curvelet Transform Based Approach

Cite this Research Publication : Kiran P., Ravikrishnan G, P Kanakasabapathy , “Fault Analysis and Digital Protection of Busbars Using Curvelet Transform Based Approach” , International Journal of Scientific & Engineering Research , Volume 4, Issue 8, August 2013.

Publisher : International Journal of Scientific & Engineering Research

Conference Paper

Year : 2013

Fault Analysis for Busbars Using Curvelet Transform Based Approach

Cite this Research Publication : Kiran P., Ravikrishnan G, P Kanakasabapathy , “Fault Analysis for Busbars Using Curvelet Transform Based Approach,” in International Conference on Global Innovations in Technology and Sciences (ICGITS) , Kerala, India, April 2013.

Publisher : Proceedings of ICGITS

Year : 2013

Digital Protection and Transient Analysis of Power System Using Curvelet Transform Based Approach

Cite this Research Publication : Kiran P., Ravikrishnan G, P Kanakasabapathy, “Digital Protection and Transient Analysis of Power System Using Curvelet Transform Based Approach”, in IEEE Tencon Spring 2013 Conference, Sydney, Australia, 17-19 April 2013.

Publisher : IEEE

Year : 2013

Internal fault discrimination in power transformers using curvelet transform

Cite this Research Publication : G. Ravikrishnan, Kiran, P., and Dr. P. Kanakasabapathy, “Internal fault discrimination in power transformers using curvelet transform”, in 4th International Youth Conference on Energy IYCE 2013, Siofok, Hungary, 2013

Publisher : 4th International Youth Conference on Energy IYCE 2013

Conference Proceedings

Year : 2018

Variant Roth-Erev Reinforcement Learning Algorithm based Smart Generator Bidding as Agents in Electricity Market

Cite this Research Publication : Kiran, P., Chandrakala, K.R.M.V., Nambiar, “Variant Roth-Erev Reinforcement Learning Algorithm based Smart Generator Bidding as Agents in Electricity Market”, International Conference on Soft Computing for Problem Solving (SocPros 18), VIT, Vellore, India, Dec 2018.

Publisher : Proceedings of SocPros

Year : 2018

Multi-agent based systems on micro grid – A review

Cite this Research Publication : Kiran, P., Chandrakala, K.R.M.V., Nambiar, T.N.P., “Multi-agent based systems on micro grid - A review”, Proceedings of 2017 International Conference on Intelligent Computing and Control, I2C2, 2018.

Publisher : Proceedings of 2017 International Conference on Intelligent Computing and Control, I2C2

Year : 2017

Day ahead market operation with agent based modeling

Cite this Research Publication : Kiran P., Dr. Vijaya Chandrakala K. R. M., and T. N. P. Nambiar, “Day ahead market operation with agent based modeling”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), 2017.

Publisher : Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy

Qualification
  • Doctorate in Application of AI in Smart Grid,Amrita Vishwa Vidyapeetham
    Area: Topic: Agent Based Reinforcement Learning Approach Towards Smart Generator Scheduling under Deregulated Electricity Market
    2021
  • Postgraduate in Power and Energy,Amrita Vishwa Vidyapeetham
    2013
  • Undergraduate in  Electrical and Electronics Engineering , University of Calicut
    2010 
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