Missing and outlier of PV electric power: Diagnosis and interpolation

Kun Jung Hsu, Chi Ming Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In practice, we often encounter some missing and outlier data of a Building Integrated Photovoltaic system (BIPVs) among the data acquisitions. It may because of computer shut down, the electric pulse to sensitive sensor, thus affect the reliability of the whole data. Without complete data, we cannot catch the whole picture of the annual electric power generated respect to the BIPV system. The paper constructed a regression model according to the properties of electricity generated theory of photovoltaic, and related it to the characteristic of the data collection. Using the regression model and data collected from a PVs installed on the roof of a house located at Kao-Hsiung, this paper showed how the missing and outlier data can be interpolated properly. By using the seasonal model, the regression analysis showed that all variables in seasonal model are all significance to reject the hypothesis of no effect on the electric yield of the PVs (H0: the coefficient = 0) at 5% significant level. Finally, using the estimates coefficient of the estimators the missing and outlier data were interpolated, the daily yields of the BIPV system of the whole year were plotted.

Original languageEnglish
Title of host publication38th ASES National Solar Conference 2009, SOLAR 2009
Pages3766-3809
Number of pages44
Publication statusPublished - 2009 Dec 1
Event38th ASES National Solar Conference 2009, SOLAR 2009 - Buffalo, NY, United States
Duration: 2009 May 112009 May 16

Publication series

Name38th ASES National Solar Conference 2009, SOLAR 2009
Volume7

Other

Other38th ASES National Solar Conference 2009, SOLAR 2009
CountryUnited States
CityBuffalo, NY
Period09-05-1109-05-16

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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