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D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6055
World Ranking
7368
National Ranking
2015

Overview

Mohammad E. Khodayar is affiliated with Southern Methodist University in the United States, focusing mainly on engineering with a specialization in electrical and electronic engineering. Their research spans subfields including control and systems engineering, artificial intelligence, safety, risk, reliability and quality, as well as automotive engineering.

The scientist's work concentrates on several key topics related to power systems and energy management, featuring prominently in the areas of smart grid energy management, microgrid control and optimization, and optimal power flow distribution. Other important research themes include energy load and power forecasting, power system reliability and maintenance, advanced battery technologies research, and electric vehicles and infrastructure.

Khodayar has contributed to multiple recent papers, highlighting their involvement in power systems and smart grid research. Notable publications include:

  • Deep learning in power systems research: A review, 2020, CSEE Journal of Power and Energy Systems
  • Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids, 2021, IEEE Transactions on Smart Grid
  • Distributionally Robust Multistage Dispatch With Discrete Recourse of Energy Storage Systems, 2024, IEEE Transactions on Power Systems
  • Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems, 2020, IEEE Transactions on Smart Grid
  • Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning, 2020, IEEE Transactions on Neural Networks and Learning Systems

Their work has been disseminated primarily through established publication venues, with the most frequent including:

  • IEEE Transactions on Smart Grid
  • International Journal of Electrical Power & Energy Systems
  • Electric Power Systems Research
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Sustainable Energy

Collaboration forms a significant component of their research activities, having coauthored multiple papers with several scholars. Frequent collaborators include:

  • Mahdi Khodayar
  • Jianhui Wang
  • Seyed Saeed Fazlhashemi
  • Abdulraheem H. Alobaidi
  • Mohammad Ramin Feizi

Best Publications

  • Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC

    M. E. Khodayar;Lei Wu;M. Shahidehpour

  • Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

    Mahdi Khodayar;Okyay Kaynak;Mohammad E. Khodayar

  • Integration of High Reliability Distribution System in Microgrid Operation

    M. E. Khodayar;M. Barati;M. Shahidehpour

  • Only Connect: Microgrids for Distribution System Restoration

    Liang Che;Mohammad Khodayar;Mohammad Shahidehpour

  • Accelerating the Global Adoption of Electric Vehicles: Barriers and Drivers

    Ghazale Haddadian;Mohammad Khodayar;Mohammad Shahidehpour

  • Adaptive Protection System for Microgrids: Protection practices of a functional microgrid system.

    Liang Che;Mohammad E. Khodayar;Mohammad Shahidehpour

  • Enhancing the Dispatchability of Variable Wind Generation by Coordination With Pumped-Storage Hydro Units in Stochastic Power Systems

    Mohammad E. Khodayar;Mohammad Shahidehpour;Lei Wu

  • Resilient operation of multiple energy carrier microgrids

    Saeed Dehghan Manshadi;Mohammad Khodayar

  • Wireless Charging of Electric Vehicles in Electricity and Transportation Networks

    Saeed D. Manshadi;Mohammad E. Khodayar;Khaled Abdelghany;Halit Uster

  • Deep learning in power systems research: A review

    Mahdi Khodayar;Guangyi Liu;Jianhui Wang;Mohammad E. Khodayar

  • Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting

    Mahdi Khodayar;Saeed Mohammadi;Mohammad E. Khodayar;Jianhui Wang

  • Hourly Demand Response in Day-Ahead Scheduling Considering Generating Unit Ramping Cost

    Hongyu Wu;Mohammad Shahidehpour;Mohammad E. Khodayar

  • Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids

    Jiayong Li;Mohammad E. Khodayar;Jianhui Wang;Bin Zhou

  • Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response

    Mohammad H. Shams;Majid Shahabi;Mohammad E. Khodayar

  • Cutting Campus Energy Costs with Hierarchical Control: The Economical and Reliable Operation of a Microgrid

    Mohammad Shahidehpour;Mohammad Khodayar

  • Electric Vehicle Mobility in Transmission-Constrained Hourly Power Generation Scheduling

    M. E. Khodayar;Lei Wu;Zuyi Li

  • A hierarchical electricity market structure for the smart grid paradigm

    Saeed Dehghan Manshadi;Mohammad Khodayar

  • Planning Fully Renewable Powered Charging Stations on Highways: A Data-Driven Robust Optimization Approach

    Rui Xie;Wei Wei;Mohammad E. Khodayar;Jianhui Wang

  • Risk-Constrained Coordination of Cascaded Hydro Units With Variable Wind Power Generation

    L. V. L. Abreu;M. E. Khodayar;M. Shahidehpour;Lei Wu

  • Using genetic alghoritm for distributed generation allocation to reduce losses and improve voltage profile

    Y. Alinejad-Beromi;M. Sedighizadeh;M.R. Bayat;M.E. Khodayar

  • Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling

    Mingjian Cui;Mahdi Khodayar;Chen Chen;Xinan Wang

  • Stochastic Price-Based Coordination of Intrahour Wind Energy and Storage in a Generation Company

    M. E. Khodayar;M. Shahidehpour

Frequent Co-Authors

Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Ashkan Rahimi-Kian
Ashkan Rahimi-Kian University of Tehran
Lei Wu
Lei Wu Stevens Institute of Technology
Mehdi Ehsan
Mehdi Ehsan Sharif University of Technology
Jianhui Wang
Jianhui Wang Southern Methodist University
Okyay Kaynak
Okyay Kaynak Boğaziçi University
Magnus Korpås
Magnus Korpås Norwegian University of Science and Technology
Shengwei Mei
Shengwei Mei Tsinghua University
Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Mostafa Sedighizadeh
Mostafa Sedighizadeh Shahid Beheshti University

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