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1

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

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2

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

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3

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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4

Guo, Hui. Measurement-based load modeling for smart grid planning. Otto-von-Guericke-Universität Magdeburg, 2012.

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5

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

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6

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

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7

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

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8

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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9

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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10

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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11

Heidmann, James D. Coarse grid modeling of turbine film cooling flows using volumetric source terms. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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12

B, Vickerman Mary, and NASA Glenn Research Center, eds. SmaggIce, surface modeling and grid generation for iced airfoils: Phase 1 results. National Aeronautics and Space Administration, Glenn Research Center, 1999.

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13

Barger, Raymond L. Trajectory fitting in function space with application to analytic modeling of surfaces. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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14

Barger, Raymond L. Trajectory fitting in function space with application to analytic modeling of surfaces. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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15

Arabnia, Hamid R., Masami Takata, Leonidas Deligiannidis, Pablo Rivas, Masahito Ohue, and Nobuaki Yasuo, eds. Grid, Cloud, and Cluster Computing; Quantum Technologies; and Modeling, Simulation and Visualization Methods. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85884-0.

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16

Ivo, Babuška, ed. Modeling, mesh generation, and adaptive numerical methods for partial differential equations. Springer-Verlag, 1995.

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17

Smith, Robert E. Software systems for surface modeling and grid generation: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and held at Langley Research Center, Hampton, Virginia, April 28-30, 1992. Langley Research Center, 1992.

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18

Center, Langley Research, ed. Surface modeling and grid generation of orbital sciences X34 vehicle (phase I): Under contract NAS1-96014. National Aeronautics and Space Administration, Langley Research Center, 1997.

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19

Hummon, Marissa. Grid integration of aggregated demand response: Part 2, modeling demand response in a production cost model. National Renewable Energy Laboratory, 2013.

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20

NASA Workshop on Surface Modeling, Grid Generation, and Related Issues in Computational Fluid Dynamics (CFD) Solutions (1995 NASA Lewis Research Center). Surface modeling, grid generation, and related issues in computational fluid dynamic (CFD) solutions: Proceedings of a workshop. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1995.

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21

Kurt, Hess, United States. National Oceanic and Atmospheric Administration, and Coast Survey Development Laboratory (U.S.), eds. Modeling of tidal datum fields in support of vdatum for the north and central coasts of California. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Coast Survey Development Laboratory, 2006.

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22

Dhingra, E. A. VDatum for the northeast Gulf of Mexico from Mobile Bay, Alabama, to Cape San Blas, Florida: Tidal datum modeling and population of the marine grids. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Coast Survey Development Laboratory, 2008.

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23

Spargo, Emily A. VDatum for the Calcasieu River from Lake Charles to the Gulf of Mexico, Louisiana: Tidal datum modeling and population of the grid. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Coast Survey Development Laboratory, 2005.

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24

Elliniadis, Panagiotis. An investigation of near fields for HF shipboard antennas: Surface PATCH and wire grid modeling using the Numerical Electromagnetics Code. Naval Postgraduate School, 1988.

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25

Spargo, Emily Anne. VDatum for the San Juan Islands and the Strait of Juan de Fuca with updates for Puget Sound: Tidal datum modeling and population of the grids. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, Office of Coast Survey, Coast Survey Development Laboratory, 2006.

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26

Raj, Sambamurthy Govinda, and ebrary Inc, eds. Oracle Enterprise Manager Grid Control 11g R1: Business service management : a hands-on guide to modeling and managing business services using Oracle Enterprise Manager 11gR1. Packt Pub., 2011.

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27

L, Blanchard Charles, Reynolds Steven D, and Atmospheric Research and Exposure Assessment Laboratory (U.S.), eds. The role of grid-base, reactive air quality modeling in policy analysis: Perspectives and implications, as drawn from a case study : project summary. U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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28

L, Blanchard Charles, Reynolds Steven D, and Atmospheric Research and Exposure Assessment Laboratory (U.S.), eds. The role of grid-base, reactive air quality modeling in policy analysis: Perspectives and implications, as drawn from a case study : project summary. U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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29

L, Blanchard Charles, Reynolds S. D. 1947-, and Atmospheric Research and Exposure Assessment Laboratory (U.S.), eds. The role of grid-base, reactive air quality modeling in policy analysis: Perspectives and implications, as drawn from a case study : project summary. U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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30

1940-, Smith Robert E., and United States. National Aeronautics and Space Administration., eds. Software systems for surface modeling and grid generation: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C., and held at Langley Research Center, Hampton, Virginia, April 28-30, 1992. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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31

Nicol, David M. Accurate modeling of parallel scientific computations. ICASE, 1988.

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32

Mavriplis, Dimitri J. Algebraic turbulence modeling for unstructured and adaptive meshes. Institute for Computer Applications in Science and Engineering, 1990.

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33

1943-, Jean-Marie A., ed. Advances in computing science--ASIAN 2002: Internet computing and modeling, grid computing, peer-to-peer computing, and cluster computing : 7th Asian Computing Science Conference, Hanoi, Vietnam, December 4-6, 2002 : proceedings. Springer, 2002.

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34

Salkuti, Surender Reddy, and Papia Ray, eds. Next Generation Smart Grids: Modeling, Control and Optimization. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7794-6.

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35

Center, Langley Research, ed. Full-potential modeling of blade-vortex interactions. National Aeronautics and Space Administration, Langley Research Center, 1997.

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36

Center, Langley Research, ed. Full-potential modeling of blade-vortex interactions. National Aeronautics and Space Administration, Langley Research Center, 1997.

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37

Babu, N. Ramesh. Smart Grid Systems: Modeling and Control. Apple Academic Press, Incorporated, 2018.

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38

Babu, N. Ramesh. Smart Grid Systems: Modeling and Control. Apple Academic Press, Incorporated, 2018.

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39

Smart Grid Systems: Modeling and Control. Apple Academic Press, Incorporated, 2018.

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40

Inoue, Kaoru, Hassan Bevrani, Toshifumi Ise, and Toshiji Kato. Grid Connected Converters: Modeling, Stability and Control. Elsevier, 2022.

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41

Inoue, Kaoru, Hassan Bevrani, Toshifumi Ise, and Toshiji Kato. Grid Connected Converters: Modeling, Stability and Control. Elsevier, 2022.

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42

Cell-based modeling with grid: Rev.6.0&6.1. Manchester Computing Centre, 1993.

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43

Koutsopoulos, Iordanis, Thanasis G. Papaioannou, and Vasiliki Hatzi. Modeling and Optimization of the Smart Grid Ecosystem. Now Publishers, 2016.

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44

Meshing, Geometric Modeling and Numerical Simulation 1: Form Functions, Triangulations and Geometric Modeling. Wiley & Sons, Incorporated, John, 2017.

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45

Borouchaki, Houman, and Paul Louis George. Meshing, Geometric Modeling and Numerical Simulation 1: Form Functions, Triangulations and Geometric Modeling. Wiley & Sons, Incorporated, John, 2017.

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46

Borouchaki, Houman, and Paul Louis George. Meshing, Geometric Modeling and Numerical Simulation 1: Form Functions, Triangulations and Geometric Modeling. Wiley & Sons, Incorporated, John, 2017.

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47

Algebraic turbulence modeling for unstructured and adaptive meshes. National Aeronautics and Space Administration, Langley Research Center, 1990.

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48

National Aeronautics and Space Administration (NASA) Staff. Automated, Parametric Geometry Modeling and Grid Generation for Turbomachinery Applications. Independently Published, 2018.

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49

Adaptive finite element methods for continuum damage modeling. National Aeronautics and Space Administration, 1995.

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50

Mohamed, Mohamed Abdelaziz, and Ali Mohamed Eltamaly. Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems. Springer, 2017.

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