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We use autocorrelation analysis to extract 6 nested feature sets of previous electricity loads for 5-minite ahead electricity load forecasting. We evaluate their predictive power using Australian electricity data. Our results show that the most important variables for accurate prediction are previous loads from the forecast day, 1, 2 and 7 days ago. By using also load variables from 3 and 6 days ago,...
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