Výsledky vyhledávání - "A. Al-Khafaf"

Akademický článek

A short term multistep forecasting model for photovoltaic generation using deep learning model

Autor: Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath

Publikováno v: Sustainable Operations and Computers, Vol 6, Iss , Pp 34-46 (2025)

Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging. Robust f

Externí odkaz: https://doaj.org/article/84ac37c4311c44fb874856f792e88435

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Akademický článek

Capability of hydrogen peroxide to induce oxidative stress and atheromatous lesions in female pregnant rats

Autor: A. Al-Khafaf, E.R. Al-Kennany

Publikováno v: Iraqi Journal of Veterinary Sciences, Vol 20, Iss 2, Pp 229-240 (2006)

This study was conducted to determine the capability 0.5% H2O2 on drinking water, for the induction of oxidative stress status in female pregnant rats. Moreover, this study deal with role of this stress in initiation and development of atheromatous l

Externí odkaz: https://doaj.org/article/ee18ef2d782f4e49bd78278a0295be20

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Akademický článek

Optimizing Performance of Antenna Arrays with Clustered Fractal Shapes for Multiband Applications

Autor: Jafar Ramadhan Mohammed, Dalia Ahmad Al-Khafaf

Publikováno v: Journal of Telecommunications and Information Technology, Vol 1, Iss 1 (2024)

Fractal antennas are mainly used in multiband applications. However, these types of arrays suffer from numerous disadvantages, such as high sidelobe levels, low directivity, poor taper efficiency, and high design computational complexity. In this pap

Externí odkaz: https://doaj.org/article/fcd95f4e7774409d9f7de52db21a8d5f

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Akademický článek

Multitasking recurrent neural network for photovoltaic power generation prediction

Autor: Hui Song, Nameer Al Khafaf, Ammar Kamoona, Samaneh Sadat Sajjadi, Ali Moradi Amani, Mahdi Jalili, Xinghuo Yu, Peter McTaggart

Publikováno v: Energy Reports, Vol 9, Iss , Pp 369-376 (2023)

With the increased uptake of renewable energy resources (RES), power generation from Photovoltaics (PV) cells is gaining momentum and heavily depends on environmental and meteorological conditions. Predicting PV power generation plays an important ro

Externí odkaz: https://doaj.org/article/1451d0ae12a44a02a1b78b133fbf1315

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Akademický článek

Identification of low voltage distribution transformer–customer connectivity based on unsupervised learning

Autor: Nameer Al Khafaf, Hui Song, Brendan McGrath, Mahdi Jalili

Publikováno v: Energy Reports, Vol 9, Iss , Pp 72-79 (2023)

The increased penetration of smart meters in the low voltage distribution network provides valuable insights that distribution network operators can leverage to produce detailed analytics for decision making. This includes enhanced network observabil

Externí odkaz: https://doaj.org/article/4ee85d45cf4d437987f0886a6bc65737

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