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TableĀ 2 Seasonal data

From: The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon

Year Peak load The same season in pre-year Pre-season GDP (M$) POP*
1000
Year Peak load The same season in pre-year Pre- season GDP (M$) POP*
1000
2008 8081.59 8588.69 7834.56 298,005 21,244 2012 7244.49 7281.96 7490.08 375,212 22,723
2008 7173.59 7837.02 8081.59 305,846 21,336 2012 8453.11 7943.88 7244.49 378,399 22,809
2008 8197.39 7753.15 7173.59 316,532 21,431 2013 8278.4 8706.76 8453.11 382,165 22,895
2008 8412.93 7834.56 8197.39 317,375 21,530 2013 7221.22 7490.08 8278.4 386,665 22,981
2009 8677.16 8081.59 8412.93 316,712 21,628 2013 7149.94 7244.49 7221.22 388,898 23,067
2009 7655.07 7173.59 8677.16 310,452 21,727 2013 7442.05 8453.11 7149.94 390,076 23,273
2009 7637.58 8197.39 7655.07 312,363 21,812 2014 8364.63 8278.4 7442.05 393,896 23,369
2009 8804.08 8412.93 7637.58 320,164 21,883 2014 7243.07 7221.22 8364.63 397,788 23,466
2010 8890.66 8677.16 8804.08 327,262 21,955 2014 7288.08 7149.94 7243.07 401,675 23,563
2010 7432.57 7655.07 8890.66 338,507 22,027 2014 8445.31 7442.05 7288.08 406,538 23,661
2010 7293.49 7637.58 7432.57 343,252 22,095 2015 8808.7 8364.63 8445.31 411,571 23,759
2010 7957.31 8804.08 7293.49 349,162 22,159 2015 7392.29 7243.07 8808.7 416,604 23,856
2011 8836.41 8890.66 7957.31 352,805 22,224 2015 7815.98 7288.08 7392.29 422,172 23,954
2011 7640.42 7432.57 8836.41 361,382 22,289 2015 8402.56 8445.31 7815.98 428,304 24,051
2011 7281.96 7293.49 7640.42 368,345 22,366 2016 9097.04 8808.7 8402.56 434,799 24,148
2011 7943.88 7957.31 7281.96 369,812 22,456 2016 8011.49 7392.29 9097.04 441,460 24,245
2012 8706.76 8836.41 7943.88 371,867 22,546 2016 8020.1 7815.98 8011.49 448,206 24,341
2012 7490.08 7640.42 8706.76 375,808 22,635 2016 8703.17 8402.56 8020.1 454,916 24,437