TY - GEN
T1 - OL-SVR based soft-sensor for real-time estimation of solar irradiance
AU - Ma, Jieming
AU - Bi, Ziqiang
AU - Shi, Yu
AU - Man, Ka Lok
AU - Pan, Xinyu
AU - Wang, Jian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/3
Y1 - 2017/1/3
N2 - An accurate measurement of the solar irradiance is of importance for evaluating and developing of solar renewable energy systems. However, devices for solar irradiance sensing (e.g. pyranometers and pyrheliometers) are usually expensive and difficult to calibrate. In this paper, a low-cost soft-sensor, implemented with a solar cell, is proposed for real-time estimation of solar irradiance. It applies On-Line Support Vector Regression (OL-SVR) soft model to represent the knowledge of the measuring system that is exploited to improve the quality of measurements. The Approximation Parameter Dependence (APD) condition is used to select new samples to reconstruct the model, maintaining the prediction accuracy even when the electrical characteristics of the solar cell vary with irradiance, temperature and age. The proposed approach is validated through simulations and experimental prototyping using real outdoor measurements.
AB - An accurate measurement of the solar irradiance is of importance for evaluating and developing of solar renewable energy systems. However, devices for solar irradiance sensing (e.g. pyranometers and pyrheliometers) are usually expensive and difficult to calibrate. In this paper, a low-cost soft-sensor, implemented with a solar cell, is proposed for real-time estimation of solar irradiance. It applies On-Line Support Vector Regression (OL-SVR) soft model to represent the knowledge of the measuring system that is exploited to improve the quality of measurements. The Approximation Parameter Dependence (APD) condition is used to select new samples to reconstruct the model, maintaining the prediction accuracy even when the electrical characteristics of the solar cell vary with irradiance, temperature and age. The proposed approach is validated through simulations and experimental prototyping using real outdoor measurements.
UR - http://www.scopus.com/inward/record.url?scp=85011028251&partnerID=8YFLogxK
U2 - 10.1109/APCCAS.2016.7803999
DO - 10.1109/APCCAS.2016.7803999
M3 - Conference Proceeding
AN - SCOPUS:85011028251
T3 - 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
SP - 448
EP - 451
BT - 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
Y2 - 25 October 2016 through 28 October 2016
ER -
