Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Ali M. El-Rifaie"'
Publikováno v:
IEEE Access, Vol 12, Pp 106025-106041 (2024)
This study introduces a novel risk measurement and control framework tailored to optimize the stochastic energy trading strategy of a solar storage system at Egypt’s Siwa solar station. By integrating key risk measurements Shortfall Probability (SP
Externí odkaz:
https://doaj.org/article/06c506b77bf24d698031a8b4b8a53e68
Autor:
Hashim Alnami, Ali M. El-Rifaie, Ghareeb Moustafa, Sultan H. Hakmi, Abdullah M. Shaheen, Mohamed A. Tolba
Publikováno v:
IEEE Access, Vol 12, Pp 6063-6087 (2024)
This paper introduces a novel Improved Dwarf Mongoose Optimizer (IDMO) based on an Alpha-Directed Learning Process (ADLP) for dealing with different mathematical benchmark models and engineering problems. The dwarf mongoose’s foraging behavior moti
Externí odkaz:
https://doaj.org/article/134d8b33efdb4451a76b2e064c0aa52d
Autor:
Saad A. Mohamed Abdelwahab, Ali M. El-Rifaie, Hossam Youssef Hegazy, Mohamed A. Tolba, Wael I. Mohamed, Moayed Mohamed
Publikováno v:
Sensors, Vol 24, Iss 7, p 2354 (2024)
This paper presents a comprehensive exploration of a hybrid energy system that integrates wind turbines with photovoltaics (PVs) to address the intermittent nature of electricity production from these sources. The necessity for such technology arises
Externí odkaz:
https://doaj.org/article/7119165975f94789bfb31c6d52d6f7c3
Autor:
Ali M. El-Rifaie, Abdullah M. Shaheen, Mohamed A. Tolba, Idris H. Smaili, Ghareeb Moustafa, Ahmed R. Ginidi, Mostafa A. Elshahed
Publikováno v:
IEEE Access, Vol 11, Pp 120899-120917 (2023)
With the use of cutting-edge demand management at the system or home level and powerful network reconfiguration tools, smart grids are expected to introduce advanced hardware and software resources to strengthen the operation of power systems. This a
Externí odkaz:
https://doaj.org/article/7d66f186ce524c08b833252d4609d598
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 384-393 (2022)
The accurate arithmetical models of solar photovoltaic (PV) modules plays a vital role in the performance, operation, and control of the PV systems as a part of renewable generation. Therefore, the proposed paper develops a novel robust Honey Badger
Externí odkaz:
https://doaj.org/article/6aca38e7d5094933bbded352ce59f44f
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 217-238 (2022)
The proposed research article introduces a new hybrid heuristic algorithm based on Autonomous Groups Particle Swarm and Grey Wolf optimizers (AGPSO-GWO) via multi-objective function for the allocation of the Flexible Alternating Current Transmission
Externí odkaz:
https://doaj.org/article/fc684528fb5e42e8a63c646b25758dcd
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1661 (2023)
This paper presents a comprehensive evaluation of a new control technique for the sphere motor system, aimed at achieving accurate tracking, robust and dispersion of vibrations. Control methods include the determination of a nonlinear model and the a
Externí odkaz:
https://doaj.org/article/2c9e9acecb4044f88654eb1bfe45fe0c
Autor:
Ghareeb Moustafa, Mohamed A. Tolba, Ali M. El-Rifaie, Ahmed Ginidi, Abdullah M. Shaheen, Slim Abid
Publikováno v:
Biomimetics, Vol 8, Iss 4, p 332 (2023)
The present study introduces a subtraction-average-based optimization algorithm (SAOA), a unique enhanced evolutionary technique for solving engineering optimization problems. The typical SAOA works by subtracting the average of searcher agents from
Externí odkaz:
https://doaj.org/article/eb45ddeca67a4d81865f711233e5754f
Autor:
Ghareeb Moustafa, Ali M. El-Rifaie, Idris H. Smaili, Ahmed Ginidi, Abdullah M. Shaheen, Ahmed F. Youssef, Mohamed A. Tolba
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3297 (2023)
This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA) with an alpha-directed Learning Strategy (LS) for dealing with different mathematical benchmarking functions and engineering challenges. The DMOA’s core concept is ins
Externí odkaz:
https://doaj.org/article/0eb517c839a84bdab7a4ff9d8f0b954f
Autor:
Slim Abid, Ali M. El-Rifaie, Mostafa Elshahed, Ahmed R. Ginidi, Abdullah M. Shaheen, Ghareeb Moustafa, Mohamed A. Tolba
Publikováno v:
Mathematics, Vol 11, Iss 8, p 1796 (2023)
Multi-area power systems (MAPSs) are highly complex non-linear systems facing a fundamental issue in real-world engineering problems called frequency stability problems (FSP). This paper develops an enhanced slime mold optimization algorithm (ESMOA)
Externí odkaz:
https://doaj.org/article/055f187aedc94bc59689feeb8935e434