적응적 뉴로-퍼지 모델을 이용한 태양광 발전량 예측 알고리즘 개발

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DOI QR Code

이대종;이종필;이창성;임재윤;지평식
Lee, Dae-Jong;Lee, Jong-Pil;Lee, Chang-Sung;Lim, Jae-Yoon;Ji, Pyeong-Shik

  • 투고 : 2015.11.07
  • 심사 : 2015.11.20
  • 발행 : 2015.12.01

초록

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.

키워드

PV power;Prediction model;ANFIS;Data selection

참고문헌

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과제정보

연구 과제 주관 기관 : 중소기업청