M
Mohamed Talaat
Researcher at Zagazig University
Publications - 63
Citations - 905
Mohamed Talaat is an academic researcher from Zagazig University. The author has contributed to research in topics: Electric field & Field (physics). The author has an hindex of 14, co-authored 52 publications receiving 530 citations. Previous affiliations of Mohamed Talaat include Shaqra University & The Chinese University of Hong Kong.
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Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies
TL;DR: A dynamic modeling and control of PV/Wind/Wave energy hybrid system and the effectiveness of the simulated model is found to be practical, and the model is proven to be used in the integration of the three proposed energies.
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Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach
TL;DR: In this article, a hybrid model of a multilayer feed-forward neural network (MFFNN) and the grasshopper optimization algorithm (GOA) was introduced to obtain high-accuracy results for load forecasting using the combined MT-STLF model.
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Hybrid-cloud-based data processing for power system monitoring in smart grids
Mohamed Talaat,Mohamed Talaat,Abdulaziz Alsayyari,Adel Alblawi,Ahmed Y. Hatata,Ahmed Y. Hatata +5 more
TL;DR: The power system design using smart grid architecture is developed to enhance the performance for verifying the various demand applications in power systems, integrate with available renewable energy sources, and enhance the storage capability and reliability in power system grid to deal with the suddenly change in the power system flow.
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A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine
TL;DR: The diagnosis system of power plant gas turbine has been developed to detect the deterioration of engine performance and the artificial neural network model was built to predict the deteriorated characteristics of gas turbine.
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Electric field simulation for uniform and FGM cone type spacer with adhering spherical conducting particle in GIS
TL;DR: In this paper, the effect of the presence of the adhering spherical conducting particles with different sizes and locations on the electric field distribution at solid/gas interface surface and around the spacer was studied.