Prof.Abdullah M. Al-Shaalan
Electrical Engineering Department
King Saud University, Saudi Arabia
Professor
Email: [email protected]
Qualifications
1985 Ph.D., University of Manchester, Electrical Engineering
1975 M.S., University of Pennsylvania, Systems Engineering
1970 B.S., King Saud University, Electrical Engineering
Publications (Selected)
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Alguhi, A. A., & Al-Shaalan, A. M. (2025). LSTM-Based Prediction of Solar Irradiance and Wind Speed for Renewable Energy Systems. Energies, 18(17), 4594.
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Al-Ardan, A., Al-Shaalan, A. M., Farh, H. M. H., & Al-Shamma’a, A. A. (2025). Energy Efficiency and Conservation Approaches in Institutional Buildings: The Riyadh Reformatory Case in Saudi Arabia. Sustainability, 17(13), 5808.
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Alnefaie, S. A., Alkuhayli, A., & Al-Shaalan, A. M. (2025). Optimizing Load Frequency Control of Multi-Area Power Renewable and Thermal Systems Using Advanced Proportional–Integral–Derivative Controllers and Catch Fish Algorithm. Fractal and Fractional, 9(6), 355.
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Bin Hudayb, K. A., Al-Shaalan, A. M., & Hussein Farh, H. M. (2024). Mitigation of Photovoltaics Penetration Impact upon Networks Using Lithium-Ion Batteries. Sustainability, 16(16), 7141.
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Al-Wesabi, I., Fang, Z., Farh, H. M. H., Al-Shamma’a, A. A., & Al-Shaalan, A. M. (2024). Comprehensive comparisons of improved incremental conductance with the state-of-the-art MPPT Techniques for extracting global peak and regulating dc-link voltage. Energy Reports, 11, 1590-1610.
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Chukwunonso, B. P., Al-Wesabi, I., Shixiang, L., AlSharabi, K., Al-Shamma’a, A. A., Farh, H. M. H., ... & Al-Shaalan, A. M. (2024). Predicting carbon dioxide emissions in the United States of America using machine learning algorithms. Environmental Science and Pollution Research, 31(23), 33685-33707.
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Hussein Farh, H. M., Al-Shamma’a, A. A., Qamar, A., Saeed, F., & Al-Shaalan, A. M. (2024). Optimal sizing and placement of distributed generation under N-1 contingency using hybrid crow search–particle swarm algorithm. Sustainability, 16(6), 2380.
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Ibrahim, A. W., Zhijian, F., Farh, H. M. H., Dagal, I., Al-Shamma'a, A. A., & Al-Shaalan, A. M. (2024). Hybrid SSA-PSO based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage. International journal of hydrogen energy, 51, 348-370.
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Farh, H. M. H., Fathy, A., Al-Shamma'a, A. A., Mekhilef, S., & Al-Shaalan, A. M. (2024). Global research trends on photovoltaic maximum power extraction: Systematic and scientometric analysis. Sustainable Energy Technologies and Assessments, 61, 103585.
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Allahloh, A. S., Sarfraz, M., Ghaleb, A. M., Al-Shamma’a, A. A., Hussein Farh, H. M., & Al-Shaalan, A. M. (2023). Revolutionizing IC genset operations with IIoT and AI: a study on fuel savings and predictive maintenance. Sustainability, 15(11), 8808.
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Al-Wesabi, I., Zhijian, F., Hussein Farh, H. M., A. Al-Shamma’a, A., Dong, H., M. Al-Shaalan, A., & Kandil, T. (2022). Maximum power extraction and DC-Bus voltage regulation in grid-connected PV/BES system using modified incremental inductance with a novel inverter control. Scientific Reports, 12(1), 19958.
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Al-Wesabi, I., Fang, Z., Farh, H. M. H., Al-Shamma’a, A. A., Al-Shaalan, A. M., Kandil, T., & Ding, M. (2022). Cuckoo search combined with PID controller for maximum power extraction of partially shaded photovoltaic system. Energies, 15(7), 2513.
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Abdulaziz Almarzooq, S., Al-Shaalan, A. M., Farh, H. M., & Kandil, T. (2022). Energy conservation measures and value engineering for small microgrid: New hospital as a case study. Sustainability, 14(4), 2390.
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Salem, A. A., Lau, K. Y., Abdul-Malek, Z., Mohammed, N., Al-Shaalan, A. M., Al-Shamma’a, A. A., & Farh, H. M. (2022). Polymeric insulator conditions estimation by using leakage current characteristics based on simulation and experimental investigation. Polymers, 14(4), 737.
Profile Details
https://engineering.ksu.edu.sa/en/Faculty_EE
https://scholar.google.com/citations?user=GH5U1g0AAAAJ&hl=ar
https://www.researchgate.net/profile/Abdullah-Al-Shaalan