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Title: TIME SERIES MODEL APPLIED TO PREDICT THE SOLAR POWER PRODUCTION
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TIME SERIES MODEL APPLIED TO PREDICT THE SOLAR POWER PRODUCTION
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1314-2704
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English
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18
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4.1
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This paper proposes a forecasting model based on time series technique for solar energy generation. The increasing use of renewable energy from solar and wind sources has gained acceptance and is being increasingly used. The main problems with these energies sources are the dependence of power output on the environmental parameters and the circadian variation. In order to obtain a continuous time series, average daily specific power records, W/m2, are used and moving average and exponential smoothing were tested to evidence the trend and seasonal patterns. The resulting data were correlated in mathematical models which were in good agreement with data collected from a Romanian power station.
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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759-766
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02-08 July, 2018
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website
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cdrom
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1191
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time series technique; solar energy generation; forecasting model
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