[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7836/kses.2013.33.6.062

The Development of the Short-Term Predict Model for Solar Power Generation

Kim, Kwang-Deuk (New and Renewable Research Division, Korea Institute of Energy Research)

Publication Information

Journal of the Korean Solar Energy Society / v.33, no.6, 2013 , pp. 62-69 More about this Journal

Abstract

In this paper, Korea Institute of Energy Research, building integrated renewable energy monitoring system that utilizes solar power generation forecast data forecast model is proposed. Renewable energy integration of real-time monitoring system based on monitoring data were building a database and the database of the weather conditions and to study the correlation structure was tailoring. The weather forecast cloud cover data, generation data, and solar radiation data, a data mining and time series analysis using the method developed models to forecast solar power. The development of solar power in order to forecast model of weather forecast data it is important to secure. To this end, in three hours, including a three-day forecast today Meteorological data were used from the KMA(korea Meteorological Administration) site offers. In order to verify the accuracy of the predicted solar circle for each prediction and the actual environment can be applied to generation and were analyzed.

Keywords

Time series forecast model; Predict of solar power generation; Cloud meteorological data; PV monitoring; Data mining;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)

Reference
Cited By KSCI

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1	(2013) 한국태양에너지학회 논문집 사우디아라비아 태양광 발전 시스템의 성능 분석 / 37 (1) , 81
6	(2013) 한국항행학회논문지 일기 예보와 예측 일사 및 일조를 이용한 태양광 발전 예측 / 21 (6) , 643
3	(2013) 한국항행학회논문지 RNN-LSTM을 이용한 태양광 발전량 단기 예측 모델 / 22 (3) , 233
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KSCI

The Development of the Short-Term Predict Model for Solar Power Generation 태양광발전 단기예측모델 개발

The Development of the Short-Term Predict Model for Solar Power Generation