ELM을 이용한 일별 태양광발전량 예측모델 개발

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 dai...

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Bibliographic Details
Published in전기학회 논문지 P권, 64(3) Vol. 64P; no. 3; pp. 164 - 168
Main Authors 이창성(Chang-Sung Lee), 지평식(Pyeong-Shik Ji)
Format Journal Article
LanguageKorean
Published 대한전기학회 2015
Subjects
전기공학
Forecasting model
PV power
Neural networks
ELM
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Summary: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.
Bibliography:KISTI1.1003/JNL.JAKO201527358962159
G704-001568.2015.64.3.004
ISSN:1229-800X
2586-7792