Rate My Professor Ahmad Al-Subhi

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).