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In this paper, an LSTM based model using neural network architecture is proposed to forecast power demand. ... Long Short-Term Memory (LSTM) shows promising results in predicting time series data which can also be applied to power load demand in smart grids. ... Finally, the LSTM is a modified recurrent neural network (RNN) with a chain like structure that is suitable for predictions where long-term dependency is an issue  . ...arXiv:2107.13653v1 fatcat:4dv3gasqb5e2bhbh4u6rl4ym3y