Treatment for Missing Data in Solar Radiation Series

Abstract

In order to make a rational use of solar energy is essential to have a proper knowledge of the spatio-temporal resource level the surface. Therefore Solar Energy Group is conducting measurements of global radiation and direct. In the data collection there are many possibilities for error of different types, but the most significant is the lack of data. What is sought is to have a methodology to indicate what to do in this situation, so in this work we make a study on the treatment of the data to infer values that will be incorporated into the series who for various reasons are lack of information. The methodology used for the incorporation of missing data is the time series analysis based on state space models.