Research of Rough Set Theory on Forecast of Power Generation for Grid-Connected Photovoltaic System

Ying Zi Li; Qiang Deng; Shou Yan Lv

doi:10.4028/www.scientific.net/AMM.548-549.885

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549Research of Rough Set Theory on Forecast of Power...

Research of Rough Set Theory on Forecast of Power Generation for Grid-Connected Photovoltaic System

Abstract:

As a new soft computing method, rough set theory can deal with imprecise, inconsistent, incomplete problems, which is due to the maturity mathematical basis. Considering the environmental factors, the forecast model of grid-connected PV system based on rough sets theory was established, which has been tested and verified on the 5.6kW grid-connected PV system in Beijing Institute of Architectural Engineering. Compared the forecasting result with acture operation results of the week, month, season and year generation, it shows that former is more correct and accuracy. So the research proved that the forecasting model of rough set is practical.

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Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

885-889

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.885

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Online since:

April 2014

Authors:

Ying Zi Li*, Qiang Deng, Shou Yan Lv

Keywords:

Forecast, Grid Connected, Photovoltaic (PV) System, Power Generation, Rough Set Theory (RST)

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* - Corresponding Author

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