D-Index & Metrics Best Publications
Mohammad Hassan Khooban

Mohammad Hassan Khooban

Research.com 2022 Rising Star of Science Award Badge

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 40 Citations 4,671 154 World Ranking 1897 National Ranking 16
Rising Stars D-index 40 Citations 4,928 198 World Ranking 612 National Ranking 4

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

His primary scientific interests are in Control theory, Control theory, Fuzzy logic, Control engineering and Automatic frequency control. His biological study spans a wide range of topics, including Photovoltaic system, Microgrid and Mode. The various areas that Mohammad Hassan Khooban examines in his Control theory study include Particle swarm optimization and Exponential stability, Nonlinear system.

Mohammad Hassan Khooban interconnects Wavelet, Wavelet transform, Mathematical optimization and Power control in the investigation of issues within Fuzzy logic. His work on Fuzzy control system as part of general Control engineering study is frequently linked to Interval, bridging the gap between disciplines. His Automatic frequency control research includes themes of Electric power system and Energy storage.

His most cited work include:

  • A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm (106 citations)
  • A new load frequency control strategy for micro-grids with considering electrical vehicles (90 citations)
  • A new load frequency control strategy for micro-grids with considering electrical vehicles (90 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Control theory, Control theory, Fuzzy logic, Control engineering and Electric power system. His study in Control theory concentrates on Nonlinear system, Fuzzy control system, PID controller, Sliding mode control and Robustness. His Control theory research is multidisciplinary, incorporating elements of Particle swarm optimization, Exponential stability, Automatic frequency control, Energy storage and Microgrid.

In the subject of general Fuzzy logic, his work in Fuzzy number is often linked to Interval, thereby combining diverse domains of study. His Control engineering research is multidisciplinary, relying on both Intelligent control and Bat algorithm. His work deals with themes such as Wind power, Distributed generation, Voltage regulation and Smart grid, which intersect with Electric power system.

He most often published in these fields:

  • Control theory (70.49%)
  • Control theory (51.91%)
  • Fuzzy logic (40.98%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (70.49%)
  • Control theory (51.91%)
  • Microgrid (18.58%)

In recent papers he was focusing on the following fields of study:

His main research concerns Control theory, Control theory, Microgrid, Automotive engineering and Energy management. The concepts of his Control theory study are interwoven with issues in Voltage droop, Converters, Electric power system and Fuzzy logic. His Fuzzy logic course of study focuses on State of charge and Photovoltaic system.

His Control theory study incorporates themes from Particle swarm optimization, Automatic frequency control, Voltage, Nonlinear system and Reinforcement learning. His Microgrid research includes themes of Wind power, Distributed generation, DC-BUS, Stability and Observer. His research on Energy management also deals with topics like

  • Renewable energy and related Energy storage, Mathematical optimization, Model predictive control and Reliability engineering,
  • Load profile that intertwine with fields like Battery energy storage system, MATLAB and Wireless power transfer.

Between 2019 and 2021, his most popular works were:

  • The Future 5G Network-Based Secondary Load Frequency Control in Shipboard Microgrids (29 citations)
  • A Novel Predictive Fuzzy Logic-Based Energy Management System for Grid-Connected and Off-Grid Operation of Residential Smart Microgrids (25 citations)
  • A New Intelligent Hybrid Control Approach for DC–DC Converters in Zero-Emission Ferry Ships (21 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Electrical engineering
  • Artificial intelligence

Mohammad Hassan Khooban mainly investigates Control theory, Control theory, Energy management, Fuzzy logic and Electric power system. His study in the field of Adaptive control is also linked to topics like Packet loss. The concepts of his Control theory study are interwoven with issues in Distributed generation and Reinforcement learning.

His Fuzzy logic study combines topics from a wide range of disciplines, such as Real-time simulation, Computational intelligence and Nonlinear system. His research in Electric power system tackles topics such as Automatic frequency control which are related to areas like Fuzzy control system, Hybrid power and Gradient descent. His Voltage research integrates issues from Control engineering, Artificial neural network and Smart grid.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm

Mohammad Hassan Khooban;Taher Niknam.
International Journal of Electrical Power & Energy Systems (2015)

163 Citations

A new load frequency control strategy for micro-grids with considering electrical vehicles

Mohammad Hassan Khooban;Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Tomislav Dragičević.
Electric Power Systems Research (2017)

129 Citations

Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network

Mehdi Rafiei;Taher Niknam;Mohammad-Hassan Khooban.
IEEE Transactions on Industrial Informatics (2017)

111 Citations

A robust adaptive load frequency control for micro-grids

Mohammad Hassan Khooban;Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Pooya Davari.
Isa Transactions (2016)

107 Citations

A self-tuning load frequency control strategy for microgrids: Human brain emotional learning

Mohammad Reza Khalghani;Mohammad Hassan Khooban;Esmaeil Mahboubi-Moghaddam;Navid Vafamand.
International Journal of Electrical Power & Energy Systems (2016)

99 Citations

Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller

Mohammad-Hassan Khooban;Taher Niknam;Mokhtar Shasadeghi;Tomislav Dragicevic.
IEEE Transactions on Sustainable Energy (2018)

95 Citations

Shipboard Microgrids: A Novel Approach to Load Frequency Control

Mohammad-Hassan Khooban;Tomislav Dragicevic;Frede Blaabjerg;Marko Delimar.
IEEE Transactions on Sustainable Energy (2018)

87 Citations

A particle swarm optimization approach for fuzzy sliding mode control for tracking the robot manipulator

Mohammad Reza Soltanpour;Mohammad Hassan Khooban.
Nonlinear Dynamics (2013)

86 Citations

A new approach in MPPT for photovoltaic array based on Extremum Seeking Control under uniform and non-uniform irradiances

Hamed Heydari-doostabad;Reza Keypour;Mohammad Reza Khalghani;Mohammad Hassan Khooban.
Solar Energy (2013)

84 Citations

Robust control strategy for electrically driven robot manipulators: adaptive fuzzy sliding mode

Mohammad Reza Soltanpour;Pooria Otadolajam;Mohammad Hassan Khooban.
Iet Science Measurement & Technology (2015)

74 Citations

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