Academic literature on the topic 'Grid modeling'

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Journal articles on the topic "Grid modeling"

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Khokhlov, Nikolai Igorevich, Vladislav O. Stetsyuk, and Ivan A. Mitskovets. "Overset grids approach for topography modeling in elastic-wave modeling using the grid-characteristic method." Computer Research and Modeling 11, no. 6 (2019): 1049–59. http://dx.doi.org/10.20537/2076-7633-2019-11-6-1049-1059.

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Rosay, Sophie, Simon Weber, and Marcello Mulas. "Modeling grid fields instead of modeling grid cells." Journal of Computational Neuroscience 47, no. 1 (2019): 43–60. http://dx.doi.org/10.1007/s10827-019-00722-8.

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Kenzhebekov, D. M., А. Е. Khussanov, I. Iristaev, А. Zholshybek, and D. Janabayev. "GENERATION AND CONFIGURATIONOF A HEAT EXCHANGER MODEL GRID FOR CFD MODELING IN COMSOL MULTIPHYSICS." Mechanics and Technologies, no. 1 (March 30, 2025): 279–85. https://doi.org/10.55956/ptul4611.

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The stages of creating a three-dimensional computational domain and generating a grid model for CFD modeling of flow hydrodynamics in a pipe-in-pipe heat exchanger are considered in detail. The sequence of actions for grid generation in COMSOL multiphysics is described. A description is given of the method of thickening the grid by dissecting the volume with a surface and constructing grids with the required interval in each of the resulting connected volumes. A model grid with triangular and square elements was used for the heat exchange model. The construction and adjustment of the model gri
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Xu, S., B. Wang, and J. Liu. "On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models." Geoscientific Model Development 8, no. 10 (2015): 3471–85. http://dx.doi.org/10.5194/gmd-8-3471-2015.

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Abstract. In this article we propose two grid generation methods for global ocean general circulation models. Contrary to conventional dipolar or tripolar grids, the proposed methods are based on Schwarz–Christoffel conformal mappings that map areas with user-prescribed, irregular boundaries to those with regular boundaries (i.e., disks, slits, etc.). The first method aims at improving existing dipolar grids. Compared with existing grids, the sample grid achieves a better trade-off between the enlargement of the latitudinal–longitudinal portion and the overall smooth grid cell size transition.
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MacDonald, Alexander E., Jacques Middlecoff, Tom Henderson, and Jin-Luen Lee. "A general method for modeling on irregular grids." International Journal of High Performance Computing Applications 25, no. 4 (2010): 392–403. http://dx.doi.org/10.1177/1094342010385019.

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For simulation on a spherical surface, such as global numerical weather prediction, icosahedral grids are superior to their competitors in uniformity of grid mesh distance across the entire globe and lack of neighboring grid cells that share only a single vertex. Use of such a grid presents unique programming challenges related to iteration across grid cells and location of neighboring cells. Here we describe an icosahedral grid with a one-dimensional vector loop structure, table specified memory order, and an indirect addressing scheme that yields very compact code despite the complexities of
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Askarova, A. S., S. A. Bolegenova, V. Y. Maksimov, and E. Medetuly. "FEATURES OF BULDING A GRID FOR 3D MODELING OF A WIND TURBINE." Bulletin of Shakarim University. Technical Sciences 1, no. 2(14) (2024): 347–55. http://dx.doi.org/10.53360/2788-7995-2024-2(14)-43.

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The article deals with the problem of constructing a grid for 3D modeling of a wind turbine by a nonstationary air flow. To solve the problem, two grids are constructed: the first from the rotating part, the second from the non-rotating part. Consequently, blockMesh, snappyHexMesh, TransformPoint, reconstructParMesh, mergeMeshes, changeDictionary utilities are used to build the grid as part of the OpenFOAM package. The solution of the main problems in the construction of the grid is determined: the first is a combination of static and moving grid, the second axis of rotation is not parallel to
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Zhang, Hui, and Fajian Nie. "Magnetotelluric Forward Modeling Using a Non-Uniform Grid Finite Difference Method." Mathematics 12, no. 19 (2024): 2984. http://dx.doi.org/10.3390/math12192984.

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Magnetotelluric (MT) forward modeling is essential in geophysical exploration, enabling the investigation of the Earth’s subsurface electrical conductivity. Traditional finite difference methods (FDMs) typically use uniform grids, which can be computationally inefficient and fail to accurately capture complex geological structures. This study addresses these challenges by introducing a non-uniform grid-based FDM for MT forward modeling. The proposed method optimizes computational resources by varying grid resolution, offering finer grids in areas with complex geology and coarser grids in more
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Tavarov, Saidjon, and Kristina Ivshina. "Simulation modeling of urban power grid operation mode." Energy Safety and Energy Economy 1 (February 2022): 10–14. http://dx.doi.org/10.18635/2071-2219-2022-1-10-14.

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Certain variable factors can impact reliability and efficiency of power grids. In this paper, we investigated contribution of variable factors into operation of urban power grid in the city of Dushanbe, Tajikistan, as an example. An indicator reflecting some specific reasons of uneven phase loads in power grids during peak hours was offered. A simulation model was built in Matlab and typical scenarios of power consumption were analyzed. The simulation results verified that a power grid operation mode is subject to change depending on considered variable factors.
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Xu, S., B. Wang, and J. Liu. "On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models." Geoscientific Model Development Discussions 8, no. 2 (2015): 1337–73. http://dx.doi.org/10.5194/gmdd-8-1337-2015.

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Abstract. In this article we propose two conformal mapping based grid generation algorithms for global ocean general circulation models (OGCMs). Contrary to conventional, analytical forms based dipolar or tripolar grids, the new algorithms are based on Schwarz–Christoffel (SC) conformal mapping with prescribed boundary information. While dealing with the basic grid design problem of pole relocation, these new algorithms also address more advanced issues such as smoothed scaling factor, or the new requirements on OGCM grids arisen from the recent trend of high-resolution and multi-scale modelin
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Alpak, Faruk O., and Tianhong Chen. "Dynamic effects of fault modeling on stair-step and corner-point grids." Journal of Petroleum Exploration and Production Technology 11, no. 3 (2021): 1323–38. http://dx.doi.org/10.1007/s13202-020-01082-1.

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AbstractFault modeling has become an integral element of reservoir simulation for structurally complex reservoirs. Modeling of faults in general has major implications for the simulation grid. In turn, the grid quality control is very important in order to attain accurate simulation results. We investigate the dynamic effects of using stair-step grid (SSG) and corner-point grid (CPG) approaches for fault modeling from the perspective of dynamic reservoir performance forecasting. We have performed a number of grid convergence and grid-type sensitivity studies for a variety of simple, yet intuit
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Dissertations / Theses on the topic "Grid modeling"

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Sjolte, Jonas. "Marine renewable energy conversion : Grid and off-grid modeling, design and operation." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elkraftteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26004.

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The global energy production from renewable sources is increasing, with high penetration of both wind and solar in key regions. Ocean Wave Energy is projected to contribute with an increasing share of the future power supply, and the focus of this work is to investigate the requirements for connecting wave energy to the power grid, in context of the Fred. Olsen (FO) Wave Energy Project. Most Wave Energy Converters (WECs) produce highly distorted power due to the reciprocal motion induced by the ocean waves. Some WEC systems have integrated energy storage that overcomes this limitation, but add
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Liu, Xin. "Scalable online simulation for modeling grid dynamics /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3158471.

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Elyas, Seyyed Hamid 8045266. "Synthetic Modeling of Power Grids Based on Statistical Analysis." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4888.

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The development of new concepts and methods for improving the efficiency of power networks needs performance evaluation with realistic grid topology. However, much of the realistic grid data needed by researchers cannot be shared publicly due to the security and privacy challenges. With this in mind, power researchers studied statistical properties of power grids and introduced synthetic power grid topology as appropriate methodology to provide enough realistic power grid case studies. If the synthetic networks are truly representative and if the concepts or methods test well in this environme
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Bürgler, Josef Franz. "Discretization and grid adaptation in semiconductor device modeling /." [S.l.] : [s.n.], 1990. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9146.

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Srivastava, Ravi K. "An Adaptive Grid Algorithm for Air Quality Modeling." NCSU, 1998. http://www.lib.ncsu.edu/theses/available/etd-19980919-174712.

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<p>SRIVASTAVA, RAVI K. An Adaptive Grid Algorithm for Air Quality Modeling. (Under the direction of Dr. D. Scott McRae.)The physical and chemical processes responsible for air pollution span a wide range of spatial scales. For example, there may be point sources, such as power plants that are characterized by relatively small spatial scales compared to the size of the region that may be impacted by such sources. To obtain accurate distributions of pollutants in an air quality simulation, the pertinent spatial scales can be resolved by varying the physical grid node spacing.A new dynamic adapti
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Hayashi, Koichi 1967. "Variable grid finite-difference modeling including surface topography." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9367.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, September 1999.<br>"August 6, 1999."<br>Includes bibliographical references (leaves 188-190).<br>We have developed a two-dimensional viscoelastic finite-difference modeling method for highly complex surface topography and subsurface structures. Realistic modeling of seismic wave propagation in the near surface region is complicated by many factors, such as strong heterogeneity, topographic relief and large attenuation. In order to account for these complications, we use a velocity-stress
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Cavraro, Guido. "Modeling, Control and Identification of a Smart Grid." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424251.

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We are in front of an epochal change in the power distribution and generation scenario. The increasing request of energy, the energy dependency of several countries from few foreign nations endowed with oilfield or gas field, and, on the other hand, the climate change and environmental issues are the main explanation of the recent development and spread of renewable distributed energy generation technologies. Examples of them are photovoltaic panels, wind turbines or geothermal, biomass, or hydroelectric. They are called small-size generators, or micro-generator, since the amount of power the
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Sankaran, Vaidyanathan. "Sub-grid Combustion Modeling for Compressible Two-Phase Flows." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5274.

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A generic formulation for modeling the sub-grid combustion in compressible, high Reynolds number, two-phase, reacting flows has been developed and validated. A sub-grid mixing/combustion model called Linear Eddy Mixing (LEM) model has been extended to compressible flows and used inside the framework of Large Eddy Simulation (LES) in this LES-LEM approach. The LES-LEM approach is based on the proposition that the basic mechanistic distinction between the convective and the molecular effects should be preserved for accurate prediction of the complex flow-fields such as those encountered in many
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Stergiadis, Dimitris. "Persona modeling by crowdsourcing using the repertory grid technique." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140916.

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Within user modeling there are various methods for representing targeted users. Persona for example is a user archetype which is given a face and name, and is carefully described in terms of goals, needs, and tasks (Blomquist &amp; Arvola, 2002). Personas are widely used, but have been criticized for often not being based on empirical data (McGinn &amp; Kotamraju, 2008). In this thesis I explore the use of the Repertory grid technique (RGT) in a user modeling context, an approach deriving from George Kelly’s (1955) Personal construct theory, which elicits both idiographic (i.e. the subjective
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Miller, Daniel K. "Wire grid modeling of the Linearly Tapered Slot Antenna." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/26339.

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Books on the topic "Grid modeling"

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Brinkman, G. Grid modeling for the SunShot vision study. National Renewable Energy Laboratory, 2012.

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Bürgler, Josef F. Discretization and grid adaptation in semiconductor device modeling. Hartung-Gorre, 1990.

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Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation,
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Guo, Hui. Measurement-based load modeling for smart grid planning. Otto-von-Guericke-Universität Magdeburg, 2012.

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Pham, Tien D. Wire grid modeling for microwave heating and termal runway. National Library of Canada, 1991.

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Miller, Daniel K. Wire grid modeling of the Linearly Tapered Slot Antenna. Naval Postgraduate School, 1989.

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Plikas, Atanasis. Numerical modeling of fibre suspensions in grid-generated turbulent flow. National Library of Canada, 2000.

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R, Van Dalsem William, and Ames Research Center, eds. NASA Workshop on Future Directions in Surface Modeling and Grid Generation. National Aeronautics and Space Administration, Ames Research Center, 1992.

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Center, Lewis Research. Surface modeling, grid generation, and related issues in computational fluid dynamic (CFD) solutions: Proceedings of a workshop sponsored by the NASA Steering Committee on Surface Modeling and Grid Generation and held at NASA Lewis Research Center, Cleveland, Ohio, May 9-11, 1995. Lewis Research Center, 1995.

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Abdelaziz Mohamed, Mohamed, and Ali Mohamed Eltamaly. Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-64795-1.

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Book chapters on the topic "Grid modeling"

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Möst, Dominik, Hannes Hobbie, Steffi Misconel, David Schönheit, and Christoph Zöphel. "Modeling Smart Grid Systems." In Lecture Notes in Energy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84286-4_6.

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Zou, Shengrong. "Modeling Distributed Algorithm Using B." In Grid and Cooperative Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24680-0_108.

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Lai, Hong Feng. "Modeling Grid Workflow by Coloured Grid Service Net." In Advances in Grid and Pervasive Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13067-0_24.

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Li, Baiyan, Wensheng Yao, and Jinyuan You. "Modeling Trust Management System for Grids." In Grid and Cooperative Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24679-4_151.

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Kerbyson, Darren J., Adolfy Hoisie, and Shawn D. Pautz. "Performance Modeling of Deterministic Transport Computations." In Performance Analysis and Grid Computing. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0361-3_2.

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Huang, Chenlin, Hua-Ping Hu, and Zhiying Wang. "Modeling Time-Related Trust." In Grid and Cooperative Computing - GCC 2004 Workshops. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30207-0_48.

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Fan, Lingling, and Zhixin Miao. "Grid-forming (GFM) control." In Modeling and Stability Analysis of Inverter-Based Resources. CRC Press, 2023. http://dx.doi.org/10.1201/9781003323655-8.

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Sreejith, Amulya, and K. Shanti Swarup. "Attack Modeling for Smart Grid Control." In Transactions on Computer Systems and Networks. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1302-8_3.

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Huang, Sen, Thomas Sevilla, and Wangda Zuo. "Modeling in building-to-grid integration." In Building Performance Simulation for Design and Operation. Routledge, 2019. http://dx.doi.org/10.1201/9780429402296-17.

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Cope, Jason, Craig Hartsough, Peter Thornton, Henry Tufo, Nathan Wilhelmi, and Matthew Woitaszek. "Grid-BGC: A Grid-Enabled Terrestrial Carbon Cycle Modeling System." In Euro-Par 2005 Parallel Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11549468_140.

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Conference papers on the topic "Grid modeling"

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Dang, Tuan Phuong, Adnan F. Alhaj Hasan, and Talgat R. Gazizov. "Wire Grid Scatterer Modeling: TALGAT Verification." In 2024 International Russian Automation Conference (RusAutoCon). IEEE, 2024. http://dx.doi.org/10.1109/rusautocon61949.2024.10694411.

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Singh, Deepi, Shreepooja Singh, and Fang Luo. "Modeling Techniques for VSC-Based HVDC Offshore Wind Farms: A Comparative Evaluation." In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge). IEEE, 2025. https://doi.org/10.1109/gridedge61154.2025.10887423.

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Li, Qiu, and Marloun P. Sejera. "Impedance Modeling Method for Improving the Grid Stability of Grid-Forming Inverters." In 2024 3rd International Symposium on Semiconductor and Electronic Technology (ISSET). IEEE, 2024. https://doi.org/10.1109/isset62871.2024.10779943.

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Cheng, Jifeng, Tingqi Zhang, Qi Jia, Xinwei Li, Xiaoheng Zhang, and Rui Wang. "Dynamic Impedance Modeling and Stability Analysis of Grid-Forming and Grid-Following Converters." In 2024 IEEE International Conference on Energy Internet (ICEI). IEEE, 2024. https://doi.org/10.1109/icei63732.2024.10917127.

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Horváth, Tomás, Jan Radil, and Jaromír Sima. "Interaction analysis: coherent vs. legacy transmission data systems for ITU grid spacing." In Optical Modeling and Performance Predictions XIV, edited by Mark A. Kahan and Catherine Merrill. SPIE, 2024. http://dx.doi.org/10.1117/12.3027591.

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Sasaki, Hiroshi, Takatsugu Oya, Masaaki Kondo, and Hiroshi Nakamura. "Power-performance modeling of heterogeneous cluster-based web servers." In 2009 10th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2009. http://dx.doi.org/10.1109/grid.2009.5353057.

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Wei Liu, Jose Cunha, Vitor Duarte, and Tiejian Luo. "A grid workload modeling approach for intelligent grid." In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919384.

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Yigitbasi, Nezih, Matthieu Gallet, Derrick Kondo, Alexandru Iosup, and Dick Epema. "Analysis and modeling of time-correlated failures in large-scale distributed systems." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697961.

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Bertran, Ramon, Yolanda Becerra, David Carrera, et al. "Accurate energy accounting for shared virtualized environments using PMC-based power modeling techniques." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5697889.

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Jin, Jiangming, Stephen John Turner, Bu-Sung Lee, Shyh-hao Kuo, Rick Siow Mong Goh, and Terence Hung. "Performance modeling for runtime kernel adaptation: A case study on infectious disease simulation." In 2010 11th IEEE/ACM International Conference on Grid Computing (GRID 2010). IEEE, 2010. http://dx.doi.org/10.1109/grid.2010.5698009.

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Reports on the topic "Grid modeling"

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Dawson, Lon Andrew, Stephen Joseph Verzi, Drew Levin, et al. Integrated Cyber/Physical Grid Resiliency Modeling. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1482777.

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Hanif, Sarmad, Shiva Poudel, Sohom Datta, and Vishvas Chalishazar. Modeling Framework for Evaluating Grid Disturbances. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1834073.

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Jorgenson, Jennie L., and Paul L. Denholm. Modeling Primary Frequency Response for Grid Studies. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1489895.

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Sholander, Peter E. Application Note: Power Grid Modeling With Xyce. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1191079.

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Bender, Sadie R., Matthew R. Oster, Trevor D. Hardy, Jesse T. Holzer, and James D. Follum. Future Grid State Modeling for Transactive Systems. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1602140.

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Brinkman, Gregory, Paul Denholm, Easan Drury, et al. Grid Modeling for the SunShot Vision Study. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1036369.

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Hanif, Sarmad, Vishvas Chalishazar, and Donald Hammerstrom. Modeling the Functional Forms of Grid Disturbances. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1765364.

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Cochran, Jaquelin, and David Palchak. Greening the Grid: Advances in Production Cost Modeling for India Renewable Energy Grid Integration Study. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1371644.

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Bent, Russell Whitford. Grid Modernization Initiative Peer Review Extreme Event Modeling 1.4.17. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1471305.

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Baptista, Antonio M., and Cheryl A. Blain. Adaptive Unstructured Grid Generation for Modeling of Coastal Margins. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada613940.

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