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Preprocessing Uncertain Photovoltaic Data
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DOI：10.1109/TSTE.2013.2287992.png)
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Abstract
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This letter suggests a method to manage the uncertainty of photovoltaic (PV) data by removing the periodic effect of the annual position of the sun in the sky. The least squares method is applied to determine the low-frequency (annual) periodic component which is predictable in the system operation. This method can be applied to estimate the probabilistic characteristics of PV generation at various locations on the earth with differing insolation due to changing solar position.
Keywords:
Least squares method
photovoltaic (PV) generation
probability density function (pdf)
renewable energy
uncertainty
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