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محمود حسين محمود عبدالسميع الخولي

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Curriculum Vitae

Faculty Engineering - Department Electrical Power and Machines Engineering

Scientific degrees

BSc In NULL, [2016]
MSc In NULL, [2019]

الحالة الوظيفية الحالية :

قائم بالعمل

Academic Jobs

معيد : 25/9/2016
Doctor Assisant : 29/9/2019

Publications

1 - Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies (2019).

2 - ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance (2019).

3 - Operating reserve investigation for the integration of wave, solar and wind energies (2020).

4 - Uncertainty and global sensitivity analysis of levelized cost of energy in wind power generation (2021).

5 - Integration of fuel cells into an off-grid hybrid system using wave and solar energy (2021).

6 - FPGA control system technology for integrating the PV/wave/FC hybrid system using ANN optimized by MFO techniques (2022).

7 - Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving (2022).

8 - Dynamic centralized control and intelligent load management system of a remote residential building with V2H technology (2022).

9 - PV solar power forecasting based on hybrid MFFNN-ALO (2022).

10 - Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation (2022).

11 - Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation (2022).

12 - Dynamic centralized control and intelligent load management system of a remote residential building with V2H technology (2022).

13 - Smart centralized energy management system for autonomous microgrid using FPGA (2022).

14 - Smart centralized energy management system for autonomous microgrid using FPGA (2022).

15 - Dynamic centralized control and intelligent load management system of a remote residential building with V2H technology (2022).

16 - Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation (2022).

17 - Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving (2022).

18 - Artificial intelligence applications for microgrids integration and management of hybrid renewable energy sources (2023).

19 - Rotor equivalent wind speed prediction based on mechanism analysis and residual correction using Lidar measurements (2023).

20 - Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies (2019).

21 - Experimental Investigation of AI-enhanced FPGA-based Optimal Management and Control of an Isolated Microgrid (2023).

Research Area