Abstract:<p>The prediction of energy consumption of users is an important requirement for utilities. Machine learning using neural networks has been applied for predicting household energy consumption due to effectiveness in capturing correlations and patterns. However, the result is predicted by learning over the behavior of the training data as a whole and ignoring the differences between sub-group behavior (i.e., groups of users with similar characteristics). The prediction of energy consumption of users is an… Show more
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