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Diaa Salman
Diaa Salman
PhD Electrical and Electronics Engineering
Verified email at ciu.edu.tr - Homepage
Title
Cited by
Cited by
Year
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
102021
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
52022
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
42021
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
22021
The feasibility of economic viability of hybrid PV-diesel energy system connect with the main grid in Somalia
YK Elmi, M Jazayeri, D Salman
22021
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
12023
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
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