Research

Peer-Reviewed Journal Articles

J26. M. Jadidbonab, H. Abdeltawab, and Y. A.-R. I. Mohamed, “A DRL-based framework for optimized scheduling and delivery in a green hydrogen hub,” IEEE Transactions on Industry Applications, early access, 2026.

J25. M. Jadidbonab, H. Abdeltawab, and Y. A.-R. I. Mohamed, “A group-relative DRL strategy for optimizing multiarea hydrogen-integrated power and traffic networks,” IEEE Systems Journal, early access, 2026.

J24. H. Moayyed, H. Abdeltawab, R. Jayakumar, and L. Ma, “Accelerated battery state-of-health estimation using conditional autoencoders for intelligent frequency band selection,” Journal of Power Sources, vol. 667, Art. no. 239247, 2026.

J23. H. Moayyed, A. Moradzadeh, H. Abdeltawab, B. Mohammadi-Ivatloo, et al., “Innovative defense strategies: Fusion deep learning approach to counter false data injection attacks in power systems,” Reliability Engineering & System Safety, Art. no. 112003, 2026.

J22. A. A. Shalaby, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Safe deep reinforcement learning for resilient self-proactive distribution grids against wildfires,” IEEE Transactions on Smart Grid, early access, 2025.

J21. H. Moayyed, H. Abdeltawab, L. Gomes, and Z. Vale, “Adaptive federated learning for robust PV power forecasting under weather-induced concept drift,” IEEE Access, early access, 2025.

J20. A. A. Shalaby, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Towards resilient self-proactive distribution grids against wildfires: A dual rolling horizon-based framework,” IEEE Transactions on Power Systems, vol. 40, no. 4, pp. 2915-2929, 2024.

J19. M. Jadidbonab, H. Abdeltawab, and Y. A.-R. I. Mohamed, “A hybrid traffic flow forecasting and risk-averse decision strategy for hydrogen-based integrated traffic and power networks,” IEEE Systems Journal, vol. 18, no. 3, pp. 1581-1592, 2024.

J18. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “SFNAS-DDPG: A biomass-based energy hub dynamic scheduling approach via connecting supervised federated neural architecture search and deep deterministic policy gradient,” IEEE Access, vol. 12, pp. 7674-7688, 2024.

J17. M. Jadidbonab, H. Abdeltawab, and Y. A.-R. I. Mohamed, “An optimal routing framework for an integrated urban power-gas-traffic network,” IEEE Open Journal of Intelligent Transportation Systems, vol. 5, pp. 223-237, 2024.

J16. A. A. Shalaby, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Model-free dynamic operations management for EV battery swapping stations: A deep reinforcement learning approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 8, pp. 8371-8385, 2023.

J15. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “A novel model-free deep reinforcement learning framework for energy management of a PV integrated energy hub,” IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4840-4852, 2022.

J14. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Deep reinforcement learning-based self-scheduling strategy for a CAES-PV system using accurate sky images-based forecasting,” IEEE Transactions on Power Systems, vol. 38, no. 2, pp. 1608-1618, 2022.

J13. I. Ragai, A. S. Abdalla, H. Abdeltawab, F. Qian, and J. Ma, “Toward smart manufacturing: Analysis and classification of cutting parameters and energy consumption patterns in turning processes,” Journal of Manufacturing Systems, vol. 64, pp. 626-635, 2022.

J12. A. Sherren, K. Fink, J. Eshelman, L. Y. Taha, S. Anwar, C. Brennecke, H. M. Abdeltawab, S. Shen, F. Ghofrani, and C. Zhang, “Experimental and simulation validation of piezoelectric road energy harvesting,” Open Journal of Energy Efficiency, vol. 11, no. 3, pp. 122-141, 2022.

J11. H. Abdeltawab and Y. A.-R. I. Mohamed, “Energy storage planning for profitability maximization by power trading and ancillary services participation,” IEEE Systems Journal, vol. 16, no. 2, pp. 1909-1920, 2021.

J10. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Deep spatial-temporal 2-D CNN-BLSTM model for ultrashort-term LiDAR-assisted wind turbine power and fatigue load forecasting,” IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp. 2342-2353, 2021.

J9. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Hybrid deep learning-based model for wind speed forecasting based on DWPT and bidirectional LSTM network,” IEEE Access, vol. 8, pp. 229219-229232, 2020.

J8. H. M. Abdeltawab and Y. A.-R. I. Mohamed, “Distributed battery energy storage cooperation for renewable energy sources integration,” Energies, vol. 13, no. 20, Art. no. 5517, 2020.

J7. H. Abdeltawab and Y. A.-R. I. Mohamed, “Mobile energy storage sizing and allocation for multi-services in power distribution systems,” IEEE Access, vol. 7, pp. 176613-176623, 2019.

J6. M. S. Taha, H. H. Abdeltawab, and Y. A.-R. I. Mohamed, “An online energy management system for a grid-connected hybrid energy source,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 6, no. 4, 2018.

J5. H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Mobile energy storage scheduling and operation in active distribution systems,” IEEE Transactions on Industrial Electronics, vol. 64, no. 9, pp. 6828-6840, 2017.

J4. H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Robust operating zones identification for energy storage day-ahead operation,” Sustainable Energy, Grids and Networks, vol. 10, pp. 1-11, 2017.

J3. Y. A.-R. I. Mohamed and H. H. Abdeltawab, “Robust energy management of a hybrid wind and flywheel energy storage system considering flywheel power losses minimization and grid-code constraints,” IEEE Transactions on Industrial Electronics, vol. 63, no. 7, pp. 4242-4254, 2016.

J2. H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Market-oriented energy management of a hybrid wind-battery energy storage system via model predictive control with constraints optimizer,” IEEE Transactions on Industrial Electronics, 2015.

J1. H. M. Hassan, A. L. ElShafei, W. A. Farag, and M. S. Saad, “A robust LMI-based pitch controller for large wind turbines,” Renewable Energy, 2012.

C22. A. C. Fatemi and H. Abdeltawab, “Sodium-ion batteries state of health estimation using machine-learning benchmarks,” Proc. IEEE SoutheastCon, pp. 1-7, 2026.

C21. H. Abdeltawab and H. Moayyed, “Aging and temperature-aware dynamic equivalent circuit modeling of sodium-ion batteries,” Proc. International Conference on Sustainable Engineering and Digital Innovation (ICSEDI), 2026.

C20. H. Abdeltawab and K. Luthy, “Cultivating character and ethics via a custom-built AI chatbot in an electric circuits activity,” Proc. IEEE Frontiers in Education Conference (FIE), pp. 1-7, 2025.

C19. A. Norris and H. Abdeltawab, “Remote fault detection of anemometers using machine learning on simulated wake models,” Proc. IEEE International Conference on Big Data (BigData), pp. 7374-7379, 2024.

C18. C. J. Murzynski, H. Abdeltawab, O. Ashour, and A. Sammoud, “Constructing reconfigurable and affordable robotic arm platform to teach robotics and automation,” Proc. ASEE Annual Conference & Exposition, 2024.

C17. K. C. Rall, K. L. Bailen, E. N. Bender, L. Y. Taha, H. M. Abdeltawab, and S. Anwar, “Smart highways based vehicle speed sensor with piezoelectric energy harvesting: A progress report,” Proc. IEEE International Conference on Industrial Technology (ICIT), pp. 1-6, 2023.

C16. I. Underwood, K. L. Bailen, F. J. Dellapenna, L. Y. Taha, H. Abdeltawab, and S. Anwar, “Experimental evaluation of piezoelectric vehicle speed sensor for smart highways: A progress report,” Proc. 12th IEEE International Conference on Renewable Energy Research and Applications (ICRERA), pp. 576-580, 2023.

C15. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “An improved actor-critic reinforcement learning with neural architecture search for the optimal control strategy of a multi-carrier energy system,” Proc. IEEE PES GTD International Conference and Exposition (GTD), pp. 315-319, 2023.

C14. A. Dolatabadi, H. Abdeltawab, and Y. A.-R. I. Mohamed, “Evolutionary-based neural architecture search for an efficient CAES and PV farm joint operation strategy using deep reinforcement learning,” Proc. IEEE PES GTD International Conference and Exposition (GTD), pp. 310-314, 2023.

C13. H. Abdeltawab and A. Radwan, “Area control error forecasting using deep learning for an interconnected power system,” Proc. IEEE Power and Energy Conference at Illinois (PECI), pp. 1-5, 2022.

C12. H. Abdeltawab, “Optimal stochastic dispatch of combined heat power system with guaranteed heat trading,” Proc. 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 2022.

C11. K. Rall, H. Abdeltawab, M. Bayrakci-Boz, and S. Anwar, “Developing MATLAB data acquisition and control functions for the LabVolt electromechanical training system,” Proc. IEEE Integrated STEM Education Conference (ISEC), pp. 150-153, 2022.

C10. K. Knowles, B. Faye, A. Orrson, H. Abdeltawab, M. Bayrakci-Boz, and S. Anwar, “Optimal EV charger level specification for residential buildings with renewable energy,” Proc. IEEE EUROCON, pp. 426-431, 2021.

C9. H. Abdeltawab and Y. A.-R. I. Mohamed, “Batteries maintenance schedule optimization for profit maximization,” Proc. IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2021.

C8. H. H. Abdeltawab and Y. A.-R. I. Mohamed, “The potential of mobile energy storage in microgrids,” Proc. 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 2020.

C7. W. Farag, H. Hassan, M. Saad, and A. L. ElShafei, “A LiDAR-based pitch control strategy for ultra large wind turbines,” Proc. 19th International Middle East Power Systems Conference (MEPCON), 2017.

C6. H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Independent energy storage power limitations for secured power system operation,” Proc. Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), pp. 407-415, 2016.

C5. H. M. Hassan and Y. A.-R. I. Mohamed, “Market-oriented energy management of a hybrid power system via model predictive control with constraints optimizer,” Proc. IEEE PES General Meeting Conference & Exposition, pp. 1-5, 2014.

C4. H. M. Hassan, W. A. Farag, M. S. Saad, and A. L. ElShafei, “Robust dynamic output feedback pitch control for flexible wind turbines,” Proc. IEEE Energytech, pp. 1-6, 2012.

C3. H. M. Hassan, W. A. Farag, M. S. Saad, and A. L. ElShafei, “Adaptive look-ahead feed-forward wind turbine pitch control using LiDAR technology,” Proc. International Conference on Sustainable Systems and Technologies, pp. 675-681, 2012.

C2. H. M. Hassan, W. A. Farag, M. Shawkey, and A. L. ElShafei, “Designing pitch controller for large wind turbines via LMI techniques,” Energy Procedia, vol. 12, pp. 808-818, 2011.

C1. H. M. Hassan, W. A. Farag, M. S. Saad, and A. L. ElShafei, “Design of multi-objective robust pitch control for large wind turbines,” Proc. World Congress on Sustainable Technologies (WCST), pp. 84-89, 2011.