S
Shafiqur Rehman
Researcher at King Fahd University of Petroleum and Minerals
Publications - 266
Citations - 11895
Shafiqur Rehman is an academic researcher from King Fahd University of Petroleum and Minerals. The author has contributed to research in topics: Wind power & Wind speed. The author has an hindex of 46, co-authored 212 publications receiving 9437 citations. Previous affiliations of Shafiqur Rehman include P A College of Engineering & University of Pretoria.
Papers
More filters
Journal ArticleDOI
Global review and synthesis of trends in observed terrestrial near-surface wind speeds; implications for evaporation
Tim R. McVicar,Michael L. Roderick,Randall J. Donohue,Ling Tao Li,Tom Van Niel,Axel Thomas,Jürgen Grieser,Deepak Jhajharia,Y. Himri,Natalie M. Mahowald,Anna V. Mescherskaya,Andries Kruger,Shafiqur Rehman,Yagob Dinpashoh +13 more
TL;DR: In this paper, the authors present a review of the literature to assess whether stilling is a globally widespread phenomenon and highlight the contribution of the aerodynamic and radiative components to these declining evaporation rates.
Journal ArticleDOI
Pumped hydro energy storage system: A technological review
TL;DR: In this article, the authors reviewed the existing global pumped hydro energy storage capacities, technological development, and hybrid systems and recommended the best possible options for small autonomous island grids and massive energy storage, where the energy efficiency of PHES varies in practice between 70% and 80%.
Journal ArticleDOI
Support vector machines for wind speed prediction
TL;DR: This paper introduces support vector machines (SVM), the latest neural network algorithm, to wind speed prediction and compares their performance with the multilayer perceptron (MLP) neural networks.
Journal ArticleDOI
Performance evaluation of a PV (photovoltaic) module by back surface water cooling for hot climatic conditions
TL;DR: In this article, a numerical model (electrical and thermal) is developed using EES (Engineering Equation Solver) software to study the performance of a hybrid PV water cooled system.
Journal ArticleDOI
Estimation of global solar radiation using artificial neural networks
TL;DR: Results indicate the viability of this approach for spatial modeling of solar radiation, and introduce a neural network technique for the estimation of global solar radiation.