Title :
Efficient Data Analysis with Modern Analytical System Developed for Use in Photovoltaic (PV) Monitoring System
Author :
Kolodenny, Wlodzimierz
Author_Institution :
SolarLab, Wroclaw Univ. of Technol.
fDate :
June 30 2006-July 2 2006
Abstract :
Outdoor data acquisition systems (DAS) designed for long term monitoring of photovoltaic (PV) modules provide wide range of measurement conditions. Measured data contain modules´ electrical parameters extracted from I-V curves and meteorological conditions occurring during measurements. Every year measurement volume of data systematically increases making analysis more complex and difficult. To cope with such large amount of data efficient database together with analytical tools is essential. This paper presents a set of analytic tools implemented with The SAS Institute Software (USA) as online analytical processing (OLAP) website. Data are available for analysis via SolarLab´s website for authorized users. Software provides multidimensional data filtering, data visualization and different types of regression. Additionally, summarized data, like periodical energy gain or insolation, can be viewed and drilled down to single measurements. Efficient data integration and data warehouse tools enable efficient analysis of data measured in different laboratories. Internet web browser interface simplifies multilaboratory cooperation in data analysis and does not require any additional software to be installed
Keywords :
Internet; computerised monitoring; data acquisition; data analysis; data visualisation; data warehouses; photovoltaic power systems; power engineering computing; power system measurement; user interfaces; I-V curves; Internet web browser interface; SAS Institute Software; SolarLab website; analytic tools; data analysis; data integration; data visualization; data warehouse tools; electrical parameters; meteorological conditions; multidimensional data filtering; online analytical processing website; outdoor data acquisition systems; photovoltaic monitoring system; regression types; Condition monitoring; Data acquisition; Data analysis; Data mining; Electric variables measurement; Meteorology; Photovoltaic systems; Solar power generation; Visual databases; Volume measurement;
Conference_Titel :
Photonics and Microsystems, 2006 International Students and Young Scientists Workshop
Conference_Location :
Wroclaw
Print_ISBN :
1-4244-0392-8
Electronic_ISBN :
1-4244-0393-6
DOI :
10.1109/STYSW.2006.343663
