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

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Free energy landscape projections for selected conformations. by Samuel Eriksson Lidbrink (21616146)

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

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Energy consumption in the PPO process. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

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

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

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Fig 17 - by Mohd Sakib (20565228)

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

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

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

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

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

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Fig 18 - by Mohd Sakib (20565228)

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

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Fig 13 - by Mohd Sakib (20565228)

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

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

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

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

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