The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Development of PV Power Prediction Algorithm using Adaptive Neuro-Fuzzy Model

적응적 뉴로-퍼지 모델을 이용한 태양광 발전량 예측 알고리즘 개발

  • Lee, Dae-Jong (Dept. of Electrical Engineering Korea National University of Transportation) ;
  • Lee, Jong-Pil (Dept. of Electrical Engineering Korea National University of Transportation) ;
  • Lee, Chang-Sung (Dept. of Electrical Engineering Korea National University of Transportation) ;
  • Lim, Jae-Yoon (Dept. of Computer Electronics Daeduk College) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Engineering Korea National University of Transportation)
  • Received : 2015.11.07
  • Accepted : 2015.11.20
  • Published : 2015.12.01
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Abstract

Solar energy will be an increasingly important part of power generation because of its ubiquity abundance, and sustainability. To manage effectively solar energy to power system, it is essential part In this paper, we develop the PV power prediction algorithm using adaptive neuro-fuzzy model considering various input factors such as temperature, solar irradiance, sunshine hours, and cloudiness. To evaluate performance of the proposed model according to input factors, we performed various experiments by using real data.

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References

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