연구동향 분석

Development of energy management system using neural network for power electric system

김성완 강석천 손민기 전현민 2022년

논문상세정보
인용/피인용
' Development of energy management system using neural network for power electric system' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Energy management system
  • Neural-network
  • Optimum control
  • Rule-based strategy
  • power management system
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
36 0

0.0%

' Development of energy management system using neural network for power electric system' 의 참고문헌

  • The IMO initial strategy for reducing Greenhouse Gas(GHG)emissions, and its follow-up ac-tions towards 2050
  • State-of-the-art technologies, measures, and potential for reducing GHG emissions from shipping – A review
  • Optimising design and power manage-ment in energy-efficient marine vessel power systems : a lit-erature review
    M. Jaurola [2019]
  • Optimal sizing of battery energy storage systems for hybrid marine power systems
  • Optimal energy control of battery hy-brid system for marine vessels by applying neural network based on equivalent consumption minimization strategy
    S. Kim [2021]
  • Global impacts of recent IMO regulations on marine fuel oil refining processes and ship emissions
    T. C. Van [2019]
  • Effects of various fuels on combustion and emission characteristics of a four-stroke dual-fuel ma-rine engine
    V. C. Pham [2021]
  • Biodiesel as al-ternative fuel for marine diesel engine applications : A re-view
    C. W. Noor [2018]
  • An energy man-agement system of a fuel cell/battery hybrid boat
    J. Han [2014]