M
Mosleh M. Alharthi
Researcher at Taif University
Publications - 44
Citations - 476
Mosleh M. Alharthi is an academic researcher from Taif University. The author has contributed to research in topics: Computer science & Electric power system. The author has an hindex of 6, co-authored 40 publications receiving 145 citations. Previous affiliations of Mosleh M. Alharthi include University of Arkansas & University of Florida.
Papers
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Journal ArticleDOI
Wind Speed Ensemble Forecasting Based on Deep Learning Using Adaptive Dynamic Optimization Algorithm
Abdelhameed Ibrahim,Seyedali Mirjalili,Mohammed El-Said,Sherif S. M. Ghoneim,Mosleh M. Alharthi,Tarek Ibrahim,El-Sayed M. El-kenawy +6 more
TL;DR: In this paper, a machine learning algorithm, called Adaptive Dynamic Particle Swarm Algorithm (AD-PSO) combined with Guided Whale Optimization algorithm (Guided WOA), was proposed for wind speed ensemble forecasting.
Journal ArticleDOI
A Single DC Source Nine-Level Switched-Capacitor Boost Inverter Topology With Reduced Switch Count
Marif Daula Siddique,Basem Alamri,Farhan A. Salem,Mohamed Orabi,Saad Mekhilef,Noraisyah Mohamed Shah,N. Sandeep,Jagabar Sathik Mohamed Ali,Atif Iqbal,Mahrous Ahmed,Sherif S. M. Ghoneim,Mosleh M. Alharthi +11 more
TL;DR: A new boost inverter topology with nine level output voltage waveform using a single dc source and two switched capacitors, which eliminates the need for an input dc boost converter especially when the inverter is powered from a renewable source.
Journal ArticleDOI
A novel improved marine predators algorithm for combined heat and power economic dispatch problem
Ragab A. El-Sehiemy,Abdullah M. Shaheen,Abdallah M. Elsayed,Ahmed R. Ginidi,Ragab A. El-Sehiemy,Mosleh M. Alharthi,Sherif S. M. Ghoneim +6 more
TL;DR: In this paper, an improved marine predators' optimization algorithm (IMPOA) was proposed for solving the combined heat and power (CHP) economic dispatch problem, which pursues to minimize the overall fuel cost (OFC) supply of cogeneration units considering their operational constraints.
Journal ArticleDOI
General Mathematical Solution for Selective Harmonic Elimination
Mahrous Ahmed,Mohamed Orabi,Sherif S. M. Ghoneim,Mosleh M. Alharthi,Farhan A. Salem,Basem Alamri,Saad Mekhilef +6 more
TL;DR: In this proposed algorithm, the nonlinear transcendental harmonic equations were transformed into a linear system of equations and the resulting equations can be solved online easily by formulating matrix A and matrix B and then multiplying the inversion of matrix A by matrix B.
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Multi-objective jellyfish search optimizer for efficient power system operation based on multi-dimensional OPF framework
Abdullah M. Shaheen,Ragab A. El-Sehiemy,Mosleh M. Alharthi,Sherif S. M. Ghoneim,Ahmed R. Ginidi +4 more
TL;DR: An enhanced multi-objective Quasi-Reflected Jellyfish Search Optimizer (MOQRJFS) is presented in this article for solving multi-dimensional Optimal Power Flow (MDOPF) issue with diverse objectives which display the minimization of economic fuel cost, total emissions, and the active power loss with satisfying operational constraints.