OL-SVR based soft-sensor for real-time estimation of solar irradiance

Jieming Ma; Ziqiang Bi; Yu Shi; Ka Lok Man; Xinyu Pan; Jian Wang

doi:10.1109/APCCAS.2016.7803999

OL-SVR based soft-sensor for real-time estimation of solar irradiance

Jieming Ma, Ziqiang Bi, Yu Shi, Ka Lok Man, Xinyu Pan, Jian Wang

Department of Computing

Suzhou University of Science and Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

11 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	448-451
Number of pages	4
ISBN (Electronic)	9781509015702
DOIs	https://doi.org/10.1109/APCCAS.2016.7803999
Publication status	Published - 3 Jan 2017
Event	2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 - Jeju, Korea, Republic of Duration: 25 Oct 2016 → 28 Oct 2016

Publication series

Name	2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016

Conference

Conference	2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016
Country/Territory	Korea, Republic of
City	Jeju
Period	25/10/16 → 28/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/APCCAS.2016.7803999

Cite this

Ma, J., Bi, Z., Shi, Y., Man, K. L., Pan, X., & Wang, J. (2017). OL-SVR based soft-sensor for real-time estimation of solar irradiance. In 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016 (pp. 448-451). Article 7803999 (2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCCAS.2016.7803999

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title = "OL-SVR based soft-sensor for real-time estimation of solar irradiance",

abstract = "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.",

author = "Jieming Ma and Ziqiang Bi and Yu Shi and Man, \{Ka Lok\} and Xinyu Pan and Jian Wang",

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Ma, J, Bi, Z, Shi, Y, Man, KL, Pan, X & Wang, J 2017, OL-SVR based soft-sensor for real-time estimation of solar irradiance. in 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016., 7803999, 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 448-451, 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016, Jeju, Korea, Republic of, 25/10/16. https://doi.org/10.1109/APCCAS.2016.7803999

OL-SVR based soft-sensor for real-time estimation of solar irradiance. / Ma, Jieming; Bi, Ziqiang; Shi, Yu et al.
2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 448-451 7803999 (2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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

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.

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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 -

Ma J, Bi Z, Shi Y, Man KL, Pan X, Wang J. OL-SVR based soft-sensor for real-time estimation of solar irradiance. In 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 448-451. 7803999. (2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016). doi: 10.1109/APCCAS.2016.7803999

OL-SVR based soft-sensor for real-time estimation of solar irradiance

Abstract

Publication series

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UN SDGs

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