A Review Paper on Correction Methods for Solar Irradiances Data

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Suzan Katamoura , Layla Hajar, Mehmet SabihAksoy


There is big data related to solar resources and associated weather parameters
that are actively collected from more than 45 solar radiation measurement stations operating
around Saudi Arabia. King Abdullah City for Atomic and Renewable Energy (K.A.CARE)
has been managing this data since 2013 and making it available through Renewable
Resources Atlas Portal. This data uses to support stakeholders in decision-making related to
renewable energy projects in Saudi Arabia. However, maintaining such a large-scale network
of measurement devices and receiving streaming data every minute over the years might
result in some data issues in certain periods. These issues can result from different reasons. In
this case, the data was slightly affected while maintaining the sensors of measurement
devices, particularly the physical cleaning schedule. This paper aims to review available solar
data correction methods in the literature to solve these instances and correct data values. The
goal is to investigate the different techniques and find the most applicable to implement on
K.A.CARE data.

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