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

  • 제64권3호
  • /
  • Pages.164-168
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  • 2015
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  • 1229-800X(pISSN)
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  • 2586-7792(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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ELM을 이용한 일별 태양광발전량 예측모델 개발

Development of Daily PV Power Forecasting Models using ELM

  • Lee, Chang-Sung (Dept. of Electrical Engineering Korea National University of Transportatio) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Engineering Korea National University of Transportatio)
  • 투고 : 2015.08.07
  • 심사 : 2015.08.24
  • 발행 : 2015.09.01
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초록

Due to the uncertainty of weather, it is difficult to construct an accurate forecasting model for daily PV power generation. It is very important work to know PV power in next day to manage power system. In this paper, correlation analysis between weather and power generation was carried out and daily PV power forecasting models based on Extreme Learning Machine(ELM) was presented. Performance of district ELM model was compared with single ELM model. The proposed method has been tested using actual data set measured in 2014.

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참고문헌

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