A METHODOLOGY FOR MISSING DATA IN MEASURING SOLAR RADIATION
DOI:
https://doi.org/10.59627/cbens.2008.1335Keywords:
Solar Radiation, Data Processing, Time SeriesAbstract
One of the most important requirements to make a project of rational use of solar energy is the precise knowledge of the temporal-spatial distribution of the solar resource on the terrestrial surface. For that reason, the Solar Energy Group at the National University of Rio Cuarto in Argentina, is measuring and recording data of global and direct solar radiation. Many possibilities of different kinds of errors there exist in this process, but the most significant problem is the lack of data. Then, it would be necessary to have a methodology that indicates what to do in this situation, and for that reason, this work performs an study about the data processing of the obtained measurements to infer values to be incorporated to the series in situations where the data are lost. To incorporate lost data, the Time Series Analysis based in spatial state models were used.
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