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Ibrahim B. M. Taha
Ibrahim B. M. Taha
College of Engineering-Taif University
Adresă de e-mail confirmată pe tu.edu.sa
Titlu
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Integrated ANN-based proactive fault diagnostic scheme for power transformers using dissolved gas analysis
SSM Ghoneim, IBM Taha, NI Elkalashy
IEEE Transactions on Dielectrics and Electrical Insulation 23 (3), 1838-1845, 2016
1852016
A new approach of DGA interpretation technique for transformer fault diagnosis
SSM Ghoneim, IBM Taha
International Journal of Electrical Power & Energy Systems 81, 265-274, 2016
1742016
Optimal design and energy management of an isolated fully renewable energy system integrating batteries and supercapacitors
MF Elmorshedy, MR Elkadeem, KM Kotb, IBM Taha, D Mazzeo
Energy Conversion and Management 245, 114584, 2021
1622021
Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply
Z Ullah, MR Elkadeem, KM Kotb, IBM Taha, S Wang
Renewable Energy 179, 885-910, 2021
1522021
Power transformer fault diagnosis based on DGA using a convolutional neural network with noise in measurements
IBM Taha, S Ibrahim, DEA Mansour
IEEE Access 9, 111162-111170, 2021
1002021
Optimal ratio limits of rogers' four-ratios and IEC 60599 code methods using particle swarm optimization fuzzy-logic approach
IBM Taha, A Hoballah, SSM Ghoneim
IEEE Transactions on Dielectrics and Electrical Insulation 27 (1), 222-230, 2020
762020
Conditional probability‐based interpretation of dissolved gas analysis for transformer incipient faults
IBM Taha, DEA Mansour, SSM Ghoneim, NI Elkalashy
IET Generation, Transmission & Distribution 11 (4), 943-951, 2017
742017
Beta ridge regression estimators: simulation and application
MR Abonazel, IM Taha
Communications in Statistics-Simulation and Computation 52 (9), 4280-4292, 2023
622023
Hybrid grey wolf optimizer for transformer fault diagnosis using dissolved gases considering uncertainty in measurements
A Hoballah, DEA Mansour, IBM Taha
Ieee Access 8, 139176-139187, 2020
612020
Novel power transformer fault diagnosis using optimized machine learning methods
IBM Taha, DA Mansour
Intelligent Automation & Soft Computing 28 (3), 739-752, 2021
602021
DGALab: an extensible software implementation for DGA
SI Ibrahim, SSM Ghoneim, IBM Taha
IET Generation, Transmission & Distribution 12 (18), 4117-4124, 2018
552018
Optimal reactive power resources sizing for power system operations enhancement based on improved grey wolf optimiser
IBM Taha, EE Elattar
IET Generation, Transmission & Distribution 12 (14), 3421-3434, 2018
502018
Parameter estimation of modified double-diode and triple-diode photovoltaic models based on wild horse optimizer
A Ramadan, S Kamel, IBM Taha, M Tostado-Véliz
Electronics 10 (18), 2308, 2021
492021
Refining DGA methods of IEC Code and Rogers four ratios for transformer fault diagnosis
IBM Taha, SSM Ghoneim, ASA Duaywah
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
482016
Transformer fault types and severity class prediction based on neural pattern-recognition techniques
IBM Taha, SS Dessouky, SSM Ghoneim
Electric Power Systems Research 191, 106899, 2021
472021
Short term electric load forecasting using hybrid algorithm for smart cities
EE Elattar, NA Sabiha, M Alsharef, MK Metwaly, AM Abd-Elhady, ...
Applied Intelligence 50, 3379-3399, 2020
462020
An adaptive TS‐fuzzy model based RBF neural network learning for grid integrated photovoltaic applications
N Priyadarshi, P Sanjeevikumar, MS Bhaskar, F Azam, IBM Taha, ...
IET Renewable Power Generation 16 (14), 3149-3160, 2022
412022
Comparative study of full and reduced feature scenarios for health index computation of power transformers
SSM Ghoneim, IBM Taha
IEEE Access 8, 181326-181339, 2020
392020
Artificial neural networks for power transformers fault diagnosis based on iec code using dissolved gas analysis
SSM Ghoneim, IB Taha
Int. J. Control Automat. Syst 4 (2), 18-21, 2015
392015
Frequency stability of AC/DC interconnected power systems with wind energy using arithmetic optimization algorithm-based fuzzy-PID controller
AHA Elkasem, M Khamies, G Magdy, IBM Taha, S Kamel
Sustainability 13 (21), 12095, 2021
382021
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