Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Ragab A El-Sehiemy"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Proton exchange membrane fuel cell (PEMFC) parameter extraction is an important issue in modeling and control of renewable energies. The PEMFC problem’s main objective is to estimate the optimal value of unknown parameters of the electroch
Externí odkaz:
https://doaj.org/article/eeab10bc6a724f2286bff39c600be93e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This article presents a novel approach for parameters estimation of photovoltaic cells/modules using a recent optimization algorithm called quadratic interpolation optimization algorithm (QIOA). The proposed formula is dependent on variable
Externí odkaz:
https://doaj.org/article/2b0b2bf2dd024b10b51335693053da65
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 5, Pp 899-910 (2024)
Abstract In this paper, Gaussian Process Regression (GPR)‐based models which use the Bayesian approach to regression analysis problem such as load forecasting (LF) are proposed. The GPR is a non‐parametric kernel‐based learning method having th
Externí odkaz:
https://doaj.org/article/04e2b46381994224b54c00388b262d12
Publikováno v:
IEEE Access, Vol 12, Pp 83740-83763 (2024)
This paper proposes an accurate harmonic identification strategy for microgrids and distributed power systems. The harmonic identification strategy is one of the complex tasks in microgrids due to the need of high computational burden in terms of mem
Externí odkaz:
https://doaj.org/article/e1c1fbb33dff4d01a28f09cfbbb97b92
Autor:
M. M. R. Ahmed, Sohrab Mirsaeidi, Mohsin Ali Koondhar, Nabil Karami, Elsayed Mohamed Tag-Eldin, Nivin A. Ghamry, Ragab A. El-Sehiemy, Zuhair Muhammed Alaas, Ibrahim Mahariq, A. M. Sharaf
Publikováno v:
IEEE Access, Vol 12, Pp 30311-30328 (2024)
In recent years, there has been a proliferation of studies focusing on sustainable energy sources aimed at delivering reliable power with reduced greenhouse gas emissions. Among these endeavors, electrification of urban areas through incorporation of
Externí odkaz:
https://doaj.org/article/606da2e811dc4b198e85ab8b4b7eeac5
Autor:
Chiva Mayouf, Ahmed Salhi, Fanta Haidara, Fatima Zahra Aroua, Ragab A. El-Sehiemy, Djemai Naimi, Chouaib Aya, Cheikh Sidi Ethmane Kane
Publikováno v:
Algorithms, Vol 17, Iss 10, p 438 (2024)
This paper presents a new optimization technique based on the hybridization of two meta-heuristic methods, Jellyfish Search (JS) and Moth Flame Optimizer (MFO), to solve the Optimal Power Flow (OPF) problem. The JS algorithm offers good exploration c
Externí odkaz:
https://doaj.org/article/60899c75f1eb451480524c51d9532515
Autor:
Adel A. Abou El Ela, Ragab A. El-Sehiemy, Abdullah M. Shaheen, Ayman S. Shalaby, Mohamed T. Mouafi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Generation expansion planning (GEP) is a complex, highly constrained, non-linear, discrete and dynamic optimization task aimed at determining the optimum generation technology mix of the best expansion alternative for long-term planning hori
Externí odkaz:
https://doaj.org/article/f487f907049e407ca20cab71656de388
Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 12, Pp 9673-9713 (2022)
The virtual power plant (VPP) has the ability to control and manage the electrical energy flow between the aggregated units to obtain better operation of the system. This operation is aiming to minimize the cost of produced energy and therefore enhan
Externí odkaz:
https://doaj.org/article/3788e9138425460891d6a738060f8c0b
Publikováno v:
Wind, Vol 2, Iss 4, Pp 617-635 (2022)
Statistical distribution approaches have been developed to describe wind data due to the intermittent and unpredictable nature of wind speed. The Weibull distribution with two parameters is thought to be the most accurate distribution for modeling wi
Externí odkaz:
https://doaj.org/article/2054e7520ad449b19a2ba5ecc36168c7
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Power generation for renewable energy sources increased rapidly during last few years. Similarly, the high gain dc–dc boost choppers are taking place of conventional power converters used for photovoltaic (PV) appliances. Researchers are d
Externí odkaz:
https://doaj.org/article/13073ecadb1b452f90f28da9843a10dc