Steps involved in genetic algorithm for feature selection. حسب Mohd Sakib (20565228)

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Summary of the feature selection algorithms. حسب Martin Kostadinov (20410120)

Box plot the selected feature for weekends and weekdays in the dataset. حسب Mohd Sakib (20565228)

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A basic structure of the bidirectional long short-term memory. حسب Mohd Sakib (20565228)

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Actual vs predicted net demand for all three models. حسب Mohd Sakib (20565228)

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Pattern of the training and validating data for the last two months. حسب Mohd Sakib (20565228)

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Fig 17 - حسب Mohd Sakib (20565228)

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Weekdays and weekend patterns for net demand. حسب Mohd Sakib (20565228)

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Plot for whole validation data for weekend training. حسب Mohd Sakib (20565228)

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Overall performance evaluation on the validation data. حسب Mohd Sakib (20565228)

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Wilcoxon signed-rank test results. حسب Mohd Sakib (20565228)

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Fig 18 - حسب Mohd Sakib (20565228)

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Performance evaluation of four samples on the validation data. حسب Mohd Sakib (20565228)

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Fig 13 - حسب Mohd Sakib (20565228)

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Overall performance evaluation of the training data. حسب Mohd Sakib (20565228)

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Overall performance metrics across ten runs on weekdays dataset. حسب Mohd Sakib (20565228)

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The diagram of the LSTM neural network. حسب Mohd Sakib (20565228)

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Notable studies on demand forecasting using deep learning. حسب Mohd Sakib (20565228)

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Error distribution. حسب Mohd Sakib (20565228)

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Plot for whole validation data for weekdays training. حسب Mohd Sakib (20565228)

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