World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8595
World Ranking
3706
National Ranking
142

Overview

Atsushi Yona is affiliated with the University of the Ryukyus in Japan and has contributed extensively to the fields of engineering and energy. Their research focuses on several interconnected domains including electrical and electronic engineering, control and systems engineering, and renewable energy systems with a strong emphasis on sustainability and environmental impacts.

Their main fields of study encompass:

  • Engineering
  • Energy

Their subfields of study highlight a specialization in:

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Renewable Energy, Sustainability and the Environment
  • Pollution
  • Energy Engineering and Power Technology

Atsushi Yona's research covers key topics such as:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy and Environment Impacts
  • Hybrid Renewable Energy Systems
  • Photovoltaic System Optimization Techniques
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution

Recent papers authored or co-authored by Atsushi Yona include:

  • "Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network," 2020, International Journal of Electrical Power & Energy Systems
  • "A coherent strategy for peak load shaving using energy storage systems," 2020, Journal of Energy Storage
  • "Technical and Economic Analysis of an HVDC Transmission System for Renewable Energy Connection in Afghanistan," 2022, Sustainability
  • "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," 2023, Renewable Energy
  • "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," 2021, Sustainability

The publication venues where Atsushi Yona has frequently contributed include:

  • Sustainability
  • Renewable Energy
  • Energies
  • SSRN Electronic Journal
  • International Journal of Electrical Power & Energy Systems

Frequent collaborators in their research efforts are:

  • Tomonobu Senjyu
  • Mikaeel Ahmadi
  • Hameedullah Zaheb
  • Mir Sayed Shah Danish
  • Paras Mandal

Best Publications

  • Optimal Distribution Voltage Control and Coordination With Distributed Generation

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

  • 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 Hybrid Smart AC/DC Power System

    K Kurohane;T Senjyu;A Yona;N Urasaki

  • 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

  • Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction

    A. Yona;T. Senjyu;T. Funabashi;Chul-Hwan Kim

  • Notice of Violation of IEEE Publication Principles A Hybrid ARIMA and Neural Network Model for Short-Term Price Forecasting in Deregulated Market

    P. Areekul;T. Senjyu;H. Toyama;A. Yona

  • Application of Recurrent Neural Network to Short-Term-Ahead Generating Power Forecasting for Photovoltaic System

    A. Yona;T. Senjyu;T. Funabashi

  • Decentralised control of voltage in distribution systems by distributed generators

    K. Tanaka;M. Oshiro;S. Toma;A. Yona

  • Application of Neural Network to One-Day-Ahead 24 hours Generating Power Forecasting for Photovoltaic System

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

  • Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics

    T Goya;E Omine;Y Kinjyo;T Senjyu

  • Unit commitment computation by fuzzy adaptive particle swarm optimisation

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

  • Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation

    S. Chakraborty;T. Senjyu;A. Yona;A.Y. Saber

  • Optimal Voltage Control Using Inverters Interfaced With PV Systems Considering Forecast Error in a Distribution System

    Zakaria Ziadi;Masato Oshiro;Tomonobu Senjyu;Atsushi Yona

  • Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error

    K. Tanaka;K. Uchida;K. Ogimi;T. Goya

  • Gain scheduling control of variable speed WTG under widely varying turbulence loading

    Endusa Billy Muhando;Tomonobu Senjyu;Naomitsu Urasaki;Atsushi Yona

  • Application of Neural Network to 24-hours-Ahead Generating Power Forecasting for PV System

    Atsushi Yona;Tomonobu Senjyu;Toshihisa Funabshi;Hideomi Sekine

Frequent Co-Authors

Tomonobu Senjyu
Tomonobu Senjyu University of the Ryukyus
Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Jung-Wook Park
Jung-Wook Park Yonsei University
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University

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