Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Al-Attar A. Mohamed"'
Autor:
Mahmoud G. Hemeida, Abdalla Ahmed Ibrahim, Al-Attar A. Mohamed, Salem Alkhalaf, Ayman M. Bahaa El-Dine
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 1, Pp 609-619 (2021)
The endless problem of energy supplies are always floating on the surface. As a result, there are a daily improvement to optimize power generators, networks and system configuration. Renewable distributed generators (RDG) are in the heart of these de
Externí odkaz:
https://doaj.org/article/955c431436fb46e1a3bf222fb9c09e90
Autor:
Al-Attar A. Mohamed, S.A. Hassan, A.M. Hemeida, Salem Alkhalaf, M.M.M. Mahmoud, Ayman M. Baha Eldin
Publikováno v:
Ain Shams Engineering Journal, Vol 11, Iss 2, Pp 293-308 (2020)
Maximizing the classification accuracy and minimizing the number of selected features are the two main incompatible objectives for using feature selection to overcome the curse of dimensionality. “Classification accuracy highly dependents on the na
Externí odkaz:
https://doaj.org/article/6c039c7054f94e03801debd85aa9d24c
Autor:
Menshawy A. Mohamed, Essam Mohamed, Al-Attar A. Mohamed, Mohamed M. Abdel-Nasser, Mohamed A. Moustafa Hassan
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 26, Iss 1, Pp 297-304 (2020)
AbstractThis paper proposes a new method using Artificial Neural Network (ANN) for detection of different Inter Turn Short Circuit (ITSC) faults in an induction motor under different loading conditions. The stator current signal was obtained experime
Externí odkaz:
https://doaj.org/article/4467a2a514cd4a6a8c72d5b9253a5bc1
Autor:
Mahmoud G. Hemeida, Salem Alkhalaf, Al-Attar A. Mohamed, Abdalla Ahmed Ibrahim, Tomonobu Senjyu
Publikováno v:
Energies, Vol 13, Iss 15, p 3847 (2020)
Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units
Externí odkaz:
https://doaj.org/article/3825a1565dba4878a412b66324e4b81f
Publikováno v:
IEEE Access, Vol 12, Pp 58317-58337 (2024)
Peer-to-peer (P2P) energy trading has emerged as an innovative approach for selling electricity from prosumer to consumer at the distribution level. This paper is the first to conduct a techno-economic assessment of P2P energy trading in Aswan, Egypt
Externí odkaz:
https://doaj.org/article/b2c408d297e841388d233ff81996f32a
Publikováno v:
2022 23rd International Middle East Power Systems Conference (MEPCON).
Autor:
Al-Attar Ali Mohamed, Salem Alkhalaf, Ayman M. Bahaa El-Dine, Abdalla Ahmed Ibrahim, Mahmoud G. Hemeida
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 1, Pp 609-619 (2021)
The endless problem of energy supplies are always floating on the surface. As a result, there are a daily improvement to optimize power generators, networks and system configuration. Renewable distributed generators (RDG) are in the heart of these de
Autor:
Mokhtar Aly, Osama Elbaksawi, Ahmed Elmelegi, Emad M. Ahmed, Emad A. Mohamed, Al-Attar Ali Mohamed
Publikováno v:
IEEE Access, Vol 9, Pp 8261-8277 (2021)
The low system inertia and the high sensitivity to load and generation fluctuations represent the main challenges for future ambitious plans of modern power systems accompanied by high penetrations levels of the renewable energy sources (RESs). There
Autor:
Ashraf Mohamed Hemeida, Ziad Mohamed Ali Elhalwany, Al-Attar Ali Mohamed Abdelbasset, Ahmed Lotfy Haridy
Publikováno v:
Journal of Electrical Engineering & Technology. 16:367-380
The wind energy characteristics at the site not only indicate the amount of energy obtained from wind energy, but it also depends on the control strategy implemented on the wind energy conversion system. This study proposes an application of Ant Lion
Autor:
Somaia Awad Hassan, Ashraf Mohamed Hemeida, Mountasser M.M. Mahmoud, Tomonobu Senjyu, Salem Alkhalaf, Al-Attar Ali Mohamed, Ayman M. Bahaa Eldin
Publikováno v:
Ain Shams Engineering Journal, Vol 11, Iss 3, Pp 659-675 (2020)
Recently, an explosive growth in the potential use of natural metaphors in modelling and solving large-scale non-linear optimization problems. Artificial neural network (ANN) is a potent gadget broadly utilized in many data classification tasks. Fund