Short-term unit commitment by using machine learning to cover the uncertainty of wind power forecasting D Salman, M Kusaf Sustainability 13 (24), 13609, 2021 | 10 | 2021 |
Optimal Power Systems Planning for IEEE-14 Bus Test System Application D Salman, M Kusaf, YK Elmi, A Almasri 2022 10th International Conference on Smart Grid (icSmartGrid), 290-295, 2022 | 5 | 2022 |
Using recurrent neural network to forecast day and year ahead performance of load demand: A case study of France D Salman, M Kusaf, YK Elmi 2021 10th International Conference on Power Science and Engineering (ICPSE …, 2021 | 4 | 2021 |
Using Machine Learning Techniques To Plan A Fully Renewable Energy Systems By The End of 2050: Empirical Evidence From Jerusalem District Electricity Company A Almasri, D Salman 2021 2nd Asia Conference on Computers and Communications (ACCC), 39-44, 2021 | 2 | 2021 |
The feasibility of economic viability of hybrid PV-diesel energy system connect with the main grid in Somalia YK Elmi, M Jazayeri, D Salman | 2 | 2021 |
Simulation Model for Passive Harmonic Filters Using Matlab/Simulink: A Case Study Y Elmi, D Salman Journal of Power and Energy Engineering 11 (3), 1-14, 2023 | 1 | 2023 |
Hybrid deep learning models for time series forecasting of solar power D Salman, C Direkoglu, M Kusaf, M Fahrioglu Neural Computing and Applications, 1-18, 2024 | | 2024 |
Integration of Electric Vehicle Charging Stations into the Unit Commitment Modeling D Salman, N Al Musalhi, M Kusaf, E Celebi 2022 11th International Conference on Power Science and Engineering (ICPSE …, 2022 | | 2022 |
Explainable Artificial Intelligence Models using Students' Academic Record Data, Tree Family Classifiers, and K-means Clustering to Predict Students' Performance A Almasri, J Alsaraireh, D Salman, I Aburagaga 2022 10th International Conference on Smart Grid (icSmartGrid), 46-51, 2022 | | 2022 |
Day Ahead Unit Commitment for IEEE-30 Bus System Application Taking into Consideration the Uncertainty of Wind Power Performance D Salman, M Kusaf Prime Archives in Sustainability, 1-22, 2022 | | 2022 |
EFFICIENT DEEP LEARNING TECHNIQUES FOR SHORT-TERM WIND POWER FORECASTING N AL MUSALHI, D SALMAN, M KUSAF, E CELEBI | | 2022 |
Unit Commitment by Considering the Uncertainty of Renewable Energy Sources DNM Salman Eastern Mediterranean University (EMU)-Doğu Akdeniz Üniversitesi (DAÜ), 2020 | | 2020 |