Data processing and quality verification for improved photovoltaic performance and reliability analytics
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Spyros Theocharides | George Makrides | Andreas Livera | Marios Theristis | George E. Georghiou | Joshua S. Stein | Elena Koumpli | Marios Theristis | George Makrides | Juergen Sutterlueti | G. Makrides | G. Georghiou | J. Stein | J. Sutterlueti | M. Theristis | Andreas Livera | E. Koumpli | S. Theocharides
[1] C. B. Jones,et al. Modeling nonlinear photovoltaic degradation rates , 2020, 2020 47th IEEE Photovoltaic Specialists Conference (PVSC).
[2] Joshua S. Stein,et al. Transient Weighted Moving-Average Model of Photovoltaic Module Back-Surface Temperature , 2020, IEEE Journal of Photovoltaics.
[3] George Makrides,et al. Nonlinear Photovoltaic Degradation Rates: Modeling and Comparison Against Conventional Methods , 2020, IEEE Journal of Photovoltaics.
[4] M. Topič,et al. Methodology of Köppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance , 2019, Solar Energy.
[5] George Makrides,et al. Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems , 2019, Renewable Energy.
[6] Clifford W. Hansen,et al. Pvlib Python: a Python Package for Modeling Solar Energy Systems , 2018, J. Open Source Softw..
[7] William F. Holmgren,et al. pvlib python: a python package for modeling solar energy systems , 2018, Journal of Open Source Software.
[8] Haydar Demirhan,et al. Missing value imputation for short to mid-term horizontal solar irradiance data , 2018, Applied Energy.
[9] George Makrides,et al. Five-year performance and reliability analysis of monocrystalline photovoltaic modules with different backsheet materials , 2018, Solar Energy.
[10] Ioannis P. Panapakidis,et al. A missing data treatment method for photovoltaic installations , 2018, 2018 IEEE International Energy Conference (ENERGYCON).
[11] Thomas R. Betts,et al. Satellite or ground-based measurements for production of site specific hourly irradiance data: Which is most accurate and where? , 2018 .
[12] S. Kurtz,et al. Robust PV Degradation Methodology and Application , 2018, IEEE Journal of Photovoltaics.
[13] Dirk C. Jordan,et al. PV degradation curves: non‐linearities and failure modes , 2017 .
[14] G. Makrides,et al. Impact of Missing Data on the Estimation of Photovoltaic System Degradation Rate , 2017 .
[15] Nicholas A. Engerer,et al. QCPV: A quality control algorithm for distributed photovoltaic array power output , 2017 .
[16] Katherine A. Klise,et al. Automated performance monitoring for PV systems using pecos , 2016, 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC).
[17] Eleni Koubli,et al. Inference of missing data in photovoltaic monitoring datasets , 2016 .
[18] Xiaochen Zhang,et al. Handling bad or missing smart meter data through advanced data imputation , 2016, 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).
[19] Radu Platon,et al. Online Fault Detection in PV Systems , 2015, IEEE Transactions on Sustainable Energy.
[20] George Makrides,et al. Review of photovoltaic degradation rate methodologies , 2014 .
[21] José Luís Calvo-Rolle,et al. Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions , 2014, Sensors.
[22] Ye Zhao,et al. Fault experiments in a commercial-scale PV laboratory and fault detection using local outlier factor , 2014, 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC).
[23] Clifford W. Hansen,et al. Weather-Corrected Performance Ratio , 2013 .
[24] Francisco Herrera,et al. On the choice of the best imputation methods for missing values considering three groups of classification methods , 2012, Knowledge and Information Systems.
[25] Stef van Buuren,et al. MICE: Multivariate Imputation by Chained Equations in R , 2011 .
[26] E. Dunlop,et al. A power-rating model for crystalline silicon PV modules , 2011 .
[27] F. Fabero,et al. Results of the 3rd Modelling Round Robin within the European Project „PERFORMANCE”– Comparison of Module Energy Rating Methods , 2010 .
[28] H. Beyer,et al. Quality of performance assessment of PV plants based on irradiation maps , 2008 .
[29] J. A. del Cueto,et al. Comparison of Degradation Rates of Individual Modules Held at Maximum Power , 2006, 2006 IEEE 4th World Conference on Photovoltaic Energy Conference.
[30] Jerzy W. Grzymala-Busse,et al. Handling Missing Attribute Values in Preterm Birth Data Sets , 2005, RSFDGrC.
[31] Craig K. Enders,et al. Missing Data in Educational Research: A Review of Reporting Practices and Suggestions for Improvement , 2004 .
[32] William E. Boyson,et al. Photovoltaic array performance model. , 2004 .
[33] Jitender S. Deogun,et al. Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method , 2004, Rough Sets and Current Trends in Computing.
[34] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[35] Gustavo E. A. P. A. Batista,et al. An analysis of four missing data treatment methods for supervised learning , 2003, Appl. Artif. Intell..
[36] R. Little. Missing-Data Adjustments in Large Surveys , 1988 .
[37] Marios Theristis,et al. Chapter II-1-B – Energy Yield in Photovoltaic Systems , 2018 .
[38] Eleni Koubli,et al. Impact of data quality on photovoltaic (PV) performance assessment , 2017 .
[39] George Makrides,et al. ESTIMATION OF THE DEGRADATION RATE OF FIELDED PHOTOVOLTAIC ARRAYS IN THE PRESENCE OF MEASUREMENT OUTAGES , 2017 .
[40] Iea Pvps,et al. Analytical Monitoring of Grid-connected Photovoltaic Systems , 2014 .
[41] Iea Pvps,et al. Analytical Monitoring of Grid-connected Photovoltaic Systems Good Practices for Monitoring and Performance Analysis , 2013 .
[42] Steven C. Wheelwright,et al. Forecasting: Methods and Applications, 3rd Ed , 1997 .
[43] R. G. Ross,et al. Interface design considerations for terrestrial solar cell modules , 1976 .