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IEEE/ICACT20230158 Slide.07        [Big Slide]       [YouTube]	Oral Presentation
	This is an explanation of how we developed a predictive model. First of all we create a new dataset by reflecting the time variables of meteorological data and power demand datasets to remove missing values and proceed with scaling of standardization and normalization of the data. Second, we divide the dataset by a ratio of 80% and 20% to divide the training set for learning and the test set for testing. Third, learning is carried out by putting the separated training set in the LSTM model.

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