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Ganesh K. Venayagamoorthy

Ganesh K. Venayagamoorthy

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
22226
World Ranking
847
National Ranking
366

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to the application of artificial intelligence to power systems

Overview

Ganesh K. Venayagamoorthy is affiliated with Clemson University in the United States. Their research primarily focuses on engineering, with a significant emphasis on electrical and electronic engineering, control and systems engineering, automotive engineering, artificial intelligence, and computer networks and communications.

Their work encompasses several main topics, including:

  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Smart Grid Security and Resilience
  • Optimal Power Flow Distribution
  • Electric and Hybrid Vehicle Technologies
  • Power Systems and Renewable Energy

Recent publications by Ganesh K. Venayagamoorthy include:

  • Development of an IoT-Driven Building Environment for Prediction of Electric Energy Consumption, 2020, IEEE Internet of Things Journal
  • Fuel cell technology review: Types, economy, applications, and vehicle-to-grid scheme, 2025, Sustainable Energy Technologies and Assessments
  • Edge Computing and Adaptive Fault-Tolerant Tracking Control Algorithm for Smart Buildings: A Case Study, 2020, Cybernetics & Systems
  • Distributed Demand Response Management for a Virtually Connected Community With Solar Power, 2022, IEEE Access
  • Resilient and Sustainable Tie-Line Bias Control for a Power System in Uncertain Environments, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence

Frequent co-authors include:

  • Dulip Madurasinghe
  • Hasala Dharmawardena
  • Chirath Pathiravasam
  • Xingsi Zhong
  • Rajan Ratnakumar

Their publications often appear in the following venues:

  • IEEE Access
  • IET Generation Transmission & Distribution
  • Energies
  • IEEE Internet of Things Journal
  • Sustainable Energy Technologies and Assessments

Ganesh K. Venayagamoorthy was recognized as an IEEE Fellow in 2021 for contributions to the application of artificial intelligence to power systems.

Best Publications

  • Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

    Y. del Valle;G.K. Venayagamoorthy;S. Mohagheghi;J.-C. Hernandez

  • Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions

    A Y Saber;G K Venayagamoorthy

  • Computational Intelligence in Wireless Sensor Networks: A Survey

    R V Kulkarni;A Förster;G K Venayagamoorthy

  • Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey

    R V Kulkarni;G K Venayagamoorthy

  • Review of Internet of Things (IoT) in Electric Power and Energy Systems

    Guneet Bedi;Ganesh Kumar Venayagamoorthy;Rajendra Singh;Richard R. Brooks

  • Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks

    V.G. Gudise;G.K. Venayagamoorthy

  • Real-Time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators

    Wei Qiao;Ganesh Venayagamoorthy;Ronald Harley

  • Intelligent unit commitment with vehicle-to-grid —A cost-emission optimization

    Ahmed Yousuf Saber;Ganesh Kumar Venayagamoorthy

  • Resource Scheduling Under Uncertainty in a Smart Grid With Renewables and Plug-in Vehicles

    A. Y. Saber;G. K. Venayagamoorthy

  • Dynamic Energy Management System for a Smart Microgrid

    Ganesh Kumar Venayagamoorthy;Ratnesh K. Sharma;Prajwal K. Gautam;Afshin Ahmadi

  • Intelligent Scheduling of Hybrid and Electric Vehicle Storage Capacity in a Parking Lot for Profit Maximization in Grid Power Transactions

    C. Hutson;G.K. Venayagamoorthy;K.A. Corzine

  • Recognition of facial expressions using Gabor wavelets and learning vector quantization

    Shishir Bashyal;Ganesh K. Venayagamoorthy

  • Coordinated reactive power control of a large wind farm and a STATCOM using heuristic dynamic programming

    Wei Qiao;Ronald Harley;Ganesh Venayagamoorthy

  • Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes

    R V Kulkarni;G K Venayagamoorthy

  • Optimal PSO for collective robotic search applications

    S. Doctor;G.K. Venayagamoorthy;V.G. Gudise

  • Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems

    A Y Saber;G K Venayagamoorthy

  • Multiple Reference Frame-Based Control of Three-Phase PWM Boost Rectifiers under Unbalanced and Distorted Input Conditions

    Peng Xiao;K.A. Corzine;G.K. Venayagamoorthy

  • Bio-inspired Algorithms for the Design of Multiple Optimal Power System Stabilizers: SPPSO and BFA

    T.K. Das;G.K. Venayagamoorthy;U.O. Aliyu

  • An Adaptive Control Strategy for DSTATCOM Applications in an Electric Ship Power System

    P. Mitra;G.K. Venayagamoorthy

  • Differential evolution particle swarm optimization for digital filter design

    B. Luitel;G.K. Venayagamoorthy

Frequent Co-Authors

R.G. Harley
R.G. Harley Georgia Institute of Technology
Keith Corzine
Keith Corzine University of California, Santa Cruz
Salman Mohagheghi
Salman Mohagheghi Colorado School of Mines
Wei Qiao
Wei Qiao University of Nebraska–Lincoln
Mariesa L. Crow
Mariesa L. Crow Missouri University of Science and Technology
Jung-Wook Park
Jung-Wook Park Yonsei University
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Neville R. Watson
Neville R. Watson University of Canterbury
Istvan Erlich
Istvan Erlich University of Duisburg-Essen
Akhlesh Lakhtakia
Akhlesh Lakhtakia Pennsylvania State University

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