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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 95 - 100 (6page)
이용수
초록· 키워드
오류제보하기
To solve the problem of conventional fossil energy, utilization of renewable energy is growing rapidly. Solar energy as an energy source is infinite, and a variety of research is being conducted into its utilization. To change solar energy into electrical energy, we need to build a solar power plant. The efficiency of such a plant is strongly influenced by meteorological factors; that is, its efficiency is determined by solar radiation. However, when analyzing observed generation data, it is clear that the generated amount is changed by various factors such as weather, location and plant efficiency. In this paper, we proposed a solar power generation prediction algorithm using geographical factors such as latitude and elevation. Hence, changes in generated amount caused by the installation environment are calculated by curve fitting. Through applying the method to calculate this generation amount, the difference between real generated amount is analyzed.
목차
Abstract
1. 서론
2. 국내 태양광 발전량 분석
3. 지리적 계수 방정식
4. 발전량 예측 결과 분석
5. 결론
References
참고문헌 (14)
참고문헌 신청
1. [학술대회논문] - Doo-Hyun Kim. / 2008 / The solar power with weather and generator scheduling / KIEE Summer Conference : 131 ~
2. [학술대회논문] - Il-Ryong Lee. / 2004 / Photovoltaic Generation System Output Forecasting using Irradiance Probability Distribution Function / KIEE Summer Conference : 548 ~ 550
3. [학술대회논문] - M. Detyniecki. / 2012 / Weather-based solar energy prediction / WCCI 2012 IEEE world cong. on computational intelligence : 1 ~ 7
4. [학술대회논문] - Kim Dong-Su. / 2014 / Annual energy yield prediction of building added PV system depending on the installation angle and in Korea / KIEAE Conference 4 (1) : 67 ~ 74
5. [학술대회논문] - Ju Jai-Wook. / 2008 / A Study on the Difference of Regional Electricity and Economic Comparative Valuation of the Photovoltaic System / KIAEBS Annual Spring Confernce : 137 ~ 140
2. [학술대회논문] - Il-Ryong Lee. / 2004 / Photovoltaic Generation System Output Forecasting using Irradiance Probability Distribution Function / KIEE Summer Conference : 548 ~ 550
3. [학술대회논문] - M. Detyniecki. / 2012 / Weather-based solar energy prediction / WCCI 2012 IEEE world cong. on computational intelligence : 1 ~ 7
4. [학술대회논문] - Kim Dong-Su. / 2014 / Annual energy yield prediction of building added PV system depending on the installation angle and in Korea / KIEAE Conference 4 (1) : 67 ~ 74
5. [학술대회논문] - Ju Jai-Wook. / 2008 / A Study on the Difference of Regional Electricity and Economic Comparative Valuation of the Photovoltaic System / KIAEBS Annual Spring Confernce : 137 ~ 140
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