Results 21 to 30 of about 183,261 (254)

A Nitsche-based domain decomposition method for hypersingular integral equations

, 2011
We introduce and analyze a Nitsche-based domain decomposition method for the solution of hypersingular integral equations. This method allows for discretizations with non-matching grids without the necessity of a Lagrangian multiplier, as opposed to the ...
Chouly, Franz, Heuer, Norbert
core   +2 more sources

A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction [PDF]

, 2019
In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather.
Han, Zhu, Liang, Xiaoyuan, Min, Martin Renqiang, Qi, Yi, Wang, Guiling   +4 more
core   +3 more sources

Optimization for Micro-energy Grid Dispatch Based on Non-supplementary Fired Compressed Air Energy Storage Aided Energy Hub and Hybrid Hyper-spherical Search

Journal of Modern Power Systems and Clean Energy, 2022
Micro-energy grids have shown superiorities over traditional electricity and heating management systems. This paper presents a hybrid optimization strategy for micro-energy grid dispatch with three salient features.
Zhenlong Li, Peng Li, Jing Xia, Xiangqian Liu   +3 more
doaj   +1 more source

Review of VSG Control-Enabled Universal Compatibility Architecture for Future Power Systems with High-Penetration Renewable Generation

Applied Sciences, 2019
Due to the irreversible energy substitution from fossil fuels to clean energy, the development trend of future power systems is based on renewable energy generation. However, due to the incompatibility of converter-based non-dispatchable renewable energy
Xiangwu Yan, Weichao Zhang
doaj   +1 more source

A view at desktop clouds

, 2014
Cloud has emerged as a new computing paradigm that promises to move into computing-as-utility era. Desktop Cloud is a new type of Cloud computing. It merges two computing models: Cloud computing and volunteer computing.
Alwabel, Abdulelah, Walters, Robert John, Wills, Gary Brian   +2 more
core   +1 more source

Generating Cosmological Gaussian Random Fields [PDF]

, 1997
We present a generic algorithm for generating Gaussian random initial conditions for cosmological simulations on periodic rectangular lattices. We show that imposing periodic boundary conditions on the real-space correlator and choosing initial ...
Bartelmann M., Bryan G. L., Dutta S. N., Jain B., Navarro J. F., Ue-Li Pen   +5 more
core   +2 more sources

Technical-economic feasibility analysis of micro grids integrating fuel cells in non-interconnected zones in Colombia

TecnoLógicas, 2018
The sustainable power solutions provided tonon-interconnected zonesshould bebased on the renewable energy resources available in each area. Thispresents a challenge for the techno-economic feasibility of alternativesolutionsthrough micro grids ...
Daniel González-Montoya, Carlos A. Ramos-Paja, Bernardo A. Potosí-Guerrero, Elkin E. Henao-Bravo, Andrés Julián Saavedra-Montes   +4 more
doaj   +1 more source

Robustness of the European power grids under intentional attack [PDF]

, 2007
The power grid defines one of the most important technological networks of our times and sustains our complex society. It has evolved for more than a century into an extremely huge and seemingly robust and well understood system. But it becomes extremely
B. A. Carreras, Bernat Corominas-Murtra, H. L. Willis, J. Makansi, M. Rosas-Casals, Martí Rosas-Casals, P. F. Schewe, R. Pastor-Satorras, Ricard V. Solé, S. N. Dorogovtsev, Sergi Valverde   +10 more
core   +4 more sources

Magnetotelluric Forward Modeling Using a Non-Uniform Grid Finite Difference Method

Mathematics
Magnetotelluric (MT) forward modeling is essential in geophysical exploration, enabling the investigation of the Earth’s subsurface electrical conductivity.
Hui Zhang, Fajian Nie
doaj   +1 more source

Deflated GMRES with multigrid for lattice QCD

Physics Letters B, 2020
Lattice QCD solvers encounter critical slowing down for fine lattice spacings and small quark mass. Traditional matrix eigenvalue deflation is one approach to mitigating this problem.
Travis Whyte, Walter Wilcox, Ronald B. Morgan   +2 more
doaj   +1 more source