Comparison of machine learning algorithms for the power consumption prediction:-case study of tetouan city– A Salam, A El Hibaoui 2018 6th International Renewable and Sustainable Energy Conference (IRSEC), 1-5, 2018 | 95 | 2018 |
Energy consumption prediction model with deep inception residual network inspiration and LSTM A Salam, A El Hibaoui Mathematics and Computers in Simulation 190, 97-109, 2021 | 30 | 2021 |
A comparison of activation functions in multilayer neural network for predicting the production and consumption of electricity power AS Abdulwahed Salam, Abdelaaziz El Hibaoui (International Journal of Electrical and Computer Engineering (IJECE), 163-170, 2021 | 20* | 2021 |
Power consumption of Tetouan city. UCI Machine Learning Repository A Salam, A El Hibaoui | 8 | 2023 |
Applying deep learning model to predict smart grid stability A Salam, A El Hibaoui 2021 9th International Renewable and Sustainable Energy Conference (IRSEC), 1-9, 2021 | 7 | 2021 |
E_Swish Beta: Modifying Swish Activation Function for Deep Learning Improvement A Salam, A El Hibaoui Enabling Machine Learning Applications in Data Science: Proceedings of Arab …, 2021 | | 2021 |