Rate My Professor Ahmad Al-Subhi

Ahmad Al-Subhi is an Associate Professor of Electrical Engineering at the Electrical Engineering Department, Yanbu Industrial College, Saudi Arabia. His research interests lie in electrical engineering, particularly photovoltaic systems, power system analysis, load flow problems, economic load dispatch, harmonics modeling, and machine learning applications. Dr. Al-Subhi has authored 17 peer-reviewed publications, garnering 126 citations according to ResearchGate metrics, underscoring his contributions to the field. He further supports scholarly dissemination as a member of the Editorial Board of the Yanbu Journal of Engineering and Science.

Dr. Al-Subhi's publications focus on mathematical modeling, optimization, and predictive techniques for power and renewable energy systems. Prominent works include "Optimal Evaluation of Photovoltaic Cells Parameters Using Euclidean Distance Calculations" (2024), "PV parameters estimation using optimized deep neural networks" (2024), "Accurate mathematical modeling of electronic load harmonics using machine learning software" (2023), "Mathematical-Based Models for Solution of the Load Flow Problem" (2022), "Dynamic Economic Load Dispatch Using Linear Programming and Mathematical-Based Models" (2022), "Energy Saving Device: Conceptual Review and Field Measurements" (2022), "MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING" (2021), "Parameters estimation of photovoltaic cells using simple and efficient mathematical models" (2020), "Linear Programming Based on Piece-Wise Linearization for Solving the Economic Load Dispatch Problem" (2019), "Mathematical-based accurate prediction model of output AC power for grid-connected photovoltaic system" (2017), "Mathematical models for characterization of photovoltaic panel performance under diverse environmental conditions" (2017), "Experimental performance analysis of existing conventional AC air conditioner and corresponding new pure DC air conditioner" (2017), "Optimal Duty Cycle Modeling for Maximum Power Point Tracking of Photovoltaic System" (2017), "Economic Load Dispatch Using Linear Programming" (2016), and "Reliability assessment of a practical power system using Monte Carlo simulation" (2015).