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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
79
Citations
27898
World Ranking
551
National Ranking
11

Overview

Tomonobu Senjyu is affiliated with the University of the Ryukyus in Japan and specializes primarily in engineering, with a focus on electrical and electronic engineering, control and systems engineering, renewable energy, sustainability, and environmental applications. Their academic contributions cover 549 publications in engineering and related subfields.

Their research topics include:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Hybrid Renewable Energy Systems
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution
  • Energy and Environment Impacts
  • Advanced Battery Technologies Research

Frequent publication venues feature journals and platforms such as:

  • Energies
  • Sustainability
  • Energy Reports
  • SSRN Electronic Journal
  • IEEE Access

Senjyu's collaborators include Ashraf Mohamed Hemeida (46 coauthored works), Mir Sayed Shah Danish (37), Shriram S. Rangarajan (32), Narayanan Krishnan (30), and Hasan Masrur (29).

Recent significant papers authored or coauthored by Senjyu are:

  • "Photocatalytic Applications of Metal Oxides for Sustainable Environmental Remediation," 2021, Metals
  • "Lithium-Ion Batteries-The Crux of Electric Vehicles with Opportunities and Challenges," 2022, Clean Technologies
  • "A Systematic Review of Metal Oxide Applications for Energy and Environmental Sustainability," 2020, Metals
  • "Integrated approach for optimal techno-economic planning for high renewable energy-based isolated microgrid considering cost of energy storage and demand response strategies," 2020, Energy Conversion and Management
  • "Challenges and prospects of Nigeria's sustainable energy transition with lessons from other countries' experiences," 2020, Energy Reports

Senjyu is also involved in book publications with several publishers. Notable contributions include:

  • Four books with Springer International Publishing, including the titles "Second International Conference on Computer Networks and Communication Technologies" (2020) and "Smart Trends in Computing and Communications" (2022, 2023)
  • Three books with Springer Nature, such as "Information and Communication Technology for Intelligent Systems" (2020) and "IOT with Smart Systems" (2022)
  • One book published by REPA - Research and Education Promotion Association eBooks titled "Empowering Developing Nations and Sustainable Development: Case Studies and Synthesis" (2020)

Best Publications

  • Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller

    M. Veerachary;T. Senjyu;K. Uezato

  • A fast technique for unit commitment problem by extended priority list

    T. Senjyu;K. Shimabukuro;K. Uezato;T. Funabashi

  • Output power leveling of wind turbine Generator for all operating regions by pitch angle control

    T. Senjyu;R. Sakamoto;N. Urasaki;T. Funabashi

  • Optimal Distribution Voltage Control and Coordination With Distributed Generation

    T. Senjyu;Y. Miyazato;A. Yona;N. Urasaki

  • One-Hour-Ahead Load Forecasting Using Neural Networks

    T. Senjyu;H. Takara;K. Uezato;T. Funabashi

  • A hybrid power system using alternative energy facilities in isolated island

    T. Senjyu;T. Nakaji;K. Uezato;T. Funabashi

  • Application of neural network to 24-hour-ahead generating power forecasting for PV system

    A. Yona;T. Senjyu;A.Y. Saber;T. Funabashi

  • A Coordinated Control Method to Smooth Wind Power Fluctuations of a PMSG-Based WECS

    A Uehara;A Pratap;T Goya;T Senjyu

  • Output levelling of renewable energy by electric double-layer capacitor applied for energy storage system

    T. Kinjo;T. Senjyu;N. Urasaki;H. Fujita

  • A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System

    M Datta;T Senjyu;A Yona;T Funabashi

  • Voltage-based maximum power point tracking control of PV system

    M. Veerachary;T. Senjyu;K. Uezato

  • A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method

    P. Mandal;T. Senjyu;N. Urasaki;T. Funabashi

  • Fuzzy Control of Distributed PV Inverters/Energy Storage Systems/Electric Vehicles for Frequency Regulation in a Large Power System

    M. Datta;T. Senjyu

  • A Hybrid Smart AC/DC Power System

    K Kurohane;T Senjyu;A Yona;N Urasaki

  • Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

    Paras Mandal;Tomonobu Senjyu;Toshihisa Funabashi

  • A neural network based several-hour-ahead electric load forecasting using similar days approach

    Paras Mandal;Tomonobu Senjyu;Naomitsu Urasaki;Toshihisa Funabashi

  • An adaptive dead-time compensation strategy for voltage source inverter fed motor drives

    N. Urasaki;T. Senjyu;K. Uezato;T. Funabashi

  • Optimal configuration of power generating systems in isolated island with renewable energy

    Tomonobu Senjyu;Daisuke Hayashi;Atsushi Yona;Naomitsu Urasaki

  • A hybrid smart AC/DC power system

    Kyohei Kurohane;Tomonobu Senjyu;Akie Uehara;Atsushi Yona

  • A review of output power smoothing methods for wind energy conversion systems

    Abdul Motin Howlader;Naomitsu Urasaki;Atsushi Yona;Tomonobu Senjyu

  • A Coordinated Control Method for Leveling PV Output Power Fluctuations of PV–Diesel Hybrid Systems Connected to Isolated Power Utility

    M. Datta;T. Senjyu;A. Yona;T. Funabashi

Frequent Co-Authors

Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Atsushi Yona
Atsushi Yona University of the Ryukyus
Katsumi Uezato
Katsumi Uezato University of the Ryukyus
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Sanjib Kumar Panda
Sanjib Kumar Panda National University of Singapore
Jian-Xin Xu
Jian-Xin Xu National University of Singapore
Hany M. Hasanien
Hany M. Hasanien University of Sharjah
Om Prakash Mahela
Om Prakash Mahela Rajasthan Rajya Vidhyut Prasaran Nigam Ltd

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