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Subject

Modelling of Solar Irradiance Forecasting using Local Meteorological Data
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기상관측데이터를 활용한 일사예측모델 개발

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Type
Academic journal
Author
Chung, Min Hee (Chung-Ang Univ.)
Journal
Korea Institute of Ecological Architecture and Environment KIEAE Journal Vol.17 No.6 (Wn.88) KCI Accredited Journals
Published
2017.12
Pages
273 - 278 (6page)
DOI
10.12813/kieae.2017.17.6.273

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Modelling of Solar Irradiance Forecasting using Local Meteorological Data
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Abstract· Keywords

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Purpose: The prediction of solar radiation is essential for the prediction of solar PV generation. In this study, we present a prediction model of solar radiation from data observed at Meteorological Administration and present basic data for the development of solar radiation prediction model through meteorological parameters provided in future weather forecasts. Method: The regression model is presented for one - year observation weather data in Seoul area. At first, the weather variables that will affect the insolation was selected by literature reviews. Secondly, correlation analysis is performed on the selected meteorological variables. Thirdly, a multiple regression analysis is performed using the solar radiation, and a prediction model of solar radiation is presented. Finally, the reliability of the prediction model is verified by comparing the predicted model with the weather observation data. Result: A regression equation model is presented for observational weather data. Variables with the greatest influence on the solar irradiation were sunshine duration> continued sunshine duration> average wind speed> cloud cover> precipitation duration> minimum relative humidity> precipitation> maximum temperature. The reliability of the proposed regression equation was 0.907 and CVRMSE was 15%.

Contents

ABSTRACT
1. 서론
2. 기상관측요소 및 일사량
3. 통계기법을 활용한 일사량 예측 모델
4. 일사량 예측 모델의 신뢰성 검증
5. 결론
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UCI(KEPA) : I410-ECN-0101-2018-610-001675402