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Toshihisa Funabashi

Toshihisa Funabashi

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
17478
World Ranking
1141
National Ranking
30

Overview

Toshihisa Funabashi is affiliated with the University of the Ryukyus in Japan. Their research spans several fields and subfields, with a focus on engineering and physics, particularly within aerospace engineering and astronomy and astrophysics.

The main topics addressed in their work include:

  • Electromagnetic Launch and Propulsion Technology
  • Lightning and Electromagnetic Phenomena
  • Icing and De-icing Technologies

Funabashi's publication record includes recent contributions to the field in the form of scholarly articles. One notable paper is titled "Grounding System Design for Wind Power Generation System Considering the Effective Length of Grounding Conductor", published in 2024 in the IEEJ Transactions on Electrical and Electronic Engineering. This paper has received citations indicating engagement from the research community.

They frequently publish in the IEEJ Transactions on Electrical and Electronic Engineering, which represents a significant venue for their research dissemination. Their collaborations involve co-authors including Shozo Sekioka, M.I. Lorentzou, and Nikos Hatziargyriou, reflecting interdisciplinary and international scholarly interaction.

Best Publications

  • Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges

    S.D.J. McArthur;E.M. Davidson;V.M. Catterson;A.L. Dimeas

  • Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems

    S.D.J. McArthur;E.M. Davidson;V.M. Catterson;A.L. Dimeas

  • 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

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

    M Datta;T Senjyu;A Yona;T Funabashi

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

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

  • 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 islanding detection methods for distributed resources

    T. Funabashi;K. Koyanagi;R. Yokoyama

  • 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

  • Adaptive Dead-Time Compensation Strategy for Permanent Magnet Synchronous Motor Drive

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

  • A unit commitment problem by using genetic algorithm based on unit characteristic classification

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

Frequent Co-Authors

Tomonobu Senjyu
Tomonobu Senjyu University of the Ryukyus
Atsushi Yona
Atsushi Yona University of the Ryukyus
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Katsumi Uezato
Katsumi Uezato University of the Ryukyus
Akihiro Ametani
Akihiro Ametani University of Manitoba
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Johan Driesen
Johan Driesen KU Leuven
Chris Marnay
Chris Marnay Lawrence Berkeley National Laboratory
Hiroshi Okamoto
Hiroshi Okamoto University of Tokyo

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