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Intermitted patterns of solar and wind generation cause insecurity in the   power system supply since they depend on weather conditions. The aim of this   work is to perform linear regression and correlation between solar radiation,   wind speed, air temperature and electricity demand of the Dubrovnik region.   Gained results could help in system energy planning with a high share of   renewable energy sources in the electricity production. All of the data are   collected for consecutive three year period, years 2012, 2013 and 2014, in   the 10 minute time step. Results of the correlation of each of the parameters   individually in between the years show slightly variations between the   distributions, providing representative line-ar relation in between the years   for all the data, except the wind speed data. Cor-relations are also done   between all of the parameters for each year separately, based on the mean   monthly values. Result showed good relation with negative correlation between   solar radiation and wind speed, as well as good relation with positive   correlation between solar radiation and electricity demand. The same   correlations are done in the 10 minute time step and including time system   delay. The results indicate significant decrease in correlation coefficient   value and it is less possible that they can be pronounced with linear   regression line. Calculations of the correlation and regression, based on the   10 minute time step for summer and winter period separately, gained slightly   better results in relation between parameters than the ones including the   whole year data

Linear correlation and regression between the meteorological data and the electricity demand of the Dubrovnik region in a short-term scale