Rate My Professor Nahar Alshammari

His research specializations include hybrid renewable energy systems, optimization algorithms such as harmony search, Jaya, and particle swarm optimization, microgrid design, economic analysis of renewable energy, battery-supercapacitor hybrid energy storage for electric vehicles, artificial neural network-based control, wireless electric vehicle charging with renewable energy and IoT, modified artificial rabbit optimization for energy management, multi-objective genetic algorithms for energy balancing, and impacts of renewable energy integration on socio-economic and ecological aspects. Key publications include "Optimum unit sizing of hybrid renewable energy system utilizing harmony search, Jaya and particle swarm optimization algorithms" published in 2020, "Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system" in 2021, "Optimal economic analysis study for renewable energy systems to electrify remote region in Kingdom of Saudi Arabia" in 2018, "Modeling and simulation of photovoltaic powered battery-supercapacitor hybrid energy storage system for electric vehicles" in 2024, "Comprehensive analysis of multi-objective optimization algorithms for sustainable hybrid electric vehicle charging systems" in 2023, "A novel electric vehicle battery management system using an artificial neural network-based adaptive droop control theory" in 2023, "Smart and sustainable wireless electric vehicle charging strategy with renewable energy and internet of things integration" in 2024, "A novel modified artificial rabbit optimization for stochastic energy management of a grid-connected microgrid: A case study in China" in 2024, "Novel approach for energy balancing with intermittent renewable energy source using multi-objective genetic algorithm" in 2024, and "Multifaceted impacts of widespread renewable energy integration on socio-economic, ecological, and regional development" in 2024.