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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보기술학회 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE Journal of Advanced Information Technology and Convergence Vol.7 No.1
- 발행연도
- 2017.7
- 수록면
- 19 - 27 (9page)
- DOI
- 10.14801/jaitc.2017.7.1.19
이용수
초록· 키워드
오류제보하기
This paper examines three different solar photovoltaic power output modeling techniques such as least mean square, linear regression and multiple linear regression methods. These modeling methods are compared by the measured actual solar power output that is from a function of measured irradiance as an input. Those real data is obtained at the experimental site Hae-Nam, Korea. Thus these modeling measure the correlation between solar power output and irradiance. The performance of these models is carried out in terms of the estimated error comparisons. From the performance results, we explore the strengths and weakness of each modeling approach for solar system power output in terms of irradiance. Therefore, from the simulation results, we can conclude that these models can be implemented by real-time with low complicity and high accuracy.
목차
Abstract
1. Introduction
2. LMS Based PV Power Output Modeling
3. Linear Regression Based on PV Power Output Modeling
4. Multiple Linear Regression based on PV Output Modeling
5. Conclusion and Future Works
6. Acknowledgment
7. References
참고문헌 (7)
참고문헌 신청
[학술지(정기간행물)] - Deshmukh MK / 2008 / Modeling of hybrid renewable energy systems / Renewable and Sustainable Energy Reviews 12 (1) : 235 ~ 249
[학술지(정기간행물)] - Eiben AE / 1999 / Parameter control in evolutionary algorithms / IEEE Trans. Evolutionary Computation 3 (2) : 24 ~ 141
[단행본] - Fogel LJ / 1966 / rtificial Intelligence Through Simulated Evolution / Wiley
[학술지(정기간행물)] - Hove T. / 2000 / A method for predicting long-term average performance of photovoltaic systems / Renewable Energy 21 (2) : 207 ~ 229
[학술지(정기간행물)] - B. Widrow / 1976 / Stationary and nonstationary stationary learning characteristics of the LMS adaptive filter / Proc. of the IEEE 64 (8) : 1151 ~ 1162
[학술지(정기간행물)] - Eiben AE / 1999 / Parameter control in evolutionary algorithms / IEEE Trans. Evolutionary Computation 3 (2) : 24 ~ 141
[단행본] - Fogel LJ / 1966 / rtificial Intelligence Through Simulated Evolution / Wiley
[학술지(정기간행물)] - Hove T. / 2000 / A method for predicting long-term average performance of photovoltaic systems / Renewable Energy 21 (2) : 207 ~ 229
[학술지(정기간행물)] - B. Widrow / 1976 / Stationary and nonstationary stationary learning characteristics of the LMS adaptive filter / Proc. of the IEEE 64 (8) : 1151 ~ 1162
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UCI(KEPA) : I410-ECN-0101-2018-004-001173769