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1

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

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2

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

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3

Mazo, Aleksandr, und Konstantin Potashev. The superelements. Modeling of oil fields development. ru: 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, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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4

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

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5

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

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6

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

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7

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

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8

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

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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. Cleveland, Ohio: Lewis Research Center, 1995.

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10

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

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11

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

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12

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. Hampton, Va: Langley Research Center, 1992.

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13

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. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1995.

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14

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

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15

Raj, Sambamurthy Govinda, und ebrary Inc, Hrsg. 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. Olton, Birmingham: Packt Pub., 2011.

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16

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

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17

1943-, Jean-Marie A., Hrsg. 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. New York: Springer, 2002.

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18

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

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19

Wang, Lingfeng. Modeling and control of sustainable power systems: Towards smarter and greener electric grids. Berlin: Springer, 2012.

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20

Modeling and control of sustainable power systems: Towards smarter and greener electric grids. Berlin: Springer, 2012.

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21

Cantariti, F. J. J. Computation of external aerodynamic flows using differential Reynolds stress modelling and unstructured grids. Manchester: UMIST, 1995.

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22

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

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23

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

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24

R, Van Dalsem William, und Ames Research Center, Hrsg. NASA Workshop on Future Directions in Surface Modeling and Grid Generation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1992.

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25

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

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26

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

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27

SmaggIce, surface modeling and grid generation for iced airfoils: Phase 1 results. Cleveland, Ohio: National Aeronautics and Space Administration, Glenn Research Center, 1999.

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28

Mohamed, Mohamed Abdelaziz, und Ali Mohamed Eltamaly. Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems. Springer, 2018.

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29

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

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30

Ivo, Babuška, Hrsg. Modeling, mesh generation, and adaptive numerical methods for partial differential equations. New York: Springer-Verlag, 1995.

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31

Adaptive finite element methods for continuum damage modeling. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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32

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

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33

Khare, Vikas, Savita Nema und Prashant Baredar. Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration. Elsevier Science & Technology Books, 2020.

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34

Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration. Elsevier Science & Technology, 2020.

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35

ImageBased Geometric Modeling and Mesh Generation Lecture Notes in Computational Vision and Biomechanics. Springer, 2012.

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36

Jain, Lakhmi C., Margarita N. Favorskaya, Alena V. Favorskaya, Igor B. Petrov und Sergey S. Simakov. Smart Modeling for Engineering Systems: Proceedings of the Conference 50 Years of the Development of Grid-Characteristic Method. Springer, 2019.

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37

Succi, Sauro. Lattice Boltzmann for Turbulent Flows. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0020.

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This chapter presents the main ideas behind the application of LB methods to the simulation of turbulent flows. The attention is restricted to the case of direct numerical simulation, in which all scales of motion within the grid resolution are retained in the simulation. Turbulence modeling, in which the effect of unresolved scales on the resolved ones is taken into account by various forms of modeling, will be treated in a subsequent chapter.
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38

Publishing, 3D Printer. 3D Nerd Notebook: Dot Grid Journal 6x9 - 3D Printer Notebook I Gift for 3D Printing Geeks, Modeling Expert and Technology Geek. Independently Published, 2020.

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39

Behrens, Jörn. Adaptive Atmospheric Modeling: Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications (Lecture Notes in Computational Science and Engineering). Springer, 2006.

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40

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

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41

The role of grid-base, reactive air quality modeling in policy analysis: Perspectives and implications, as drawn from a case study : project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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42

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

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43

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

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44

The role of grid-base, reactive air quality modeling in policy analysis: Perspectives and implications, as drawn from a case study : project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1990.

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45

Adaptive Atmospheric Modeling: Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications (Lecture Notes in Computational Science and Engineering Book 54). Springer, 2007.

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46

Publishing, 3D Printer. I Bet I Could Print That Notebook: Dot Grid Journal 6x9 - 3D Printer Notebook I Gift for 3D Printing Geeks, Modeling Expert and Technology Geek. Independently Published, 2020.

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47

Jean-Marie, Alain. Advances in Computing Science - ASIAN 2002. Internet Computing and Modeling, Grid Computing, Peer-to-Peer Computing, and Cluster Computing: 7th Asian Computing ... (Lecture Notes in Computer Science). Springer, 2003.

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48

Publishing, 3D Printer. Don't Worry I Can Print a New One Notebook: Dot Grid Journal 6x9 - 3D Printer Notebook I Gift for 3D Printing Geeks, Modeling Expert and Technology Geek. Independently Published, 2020.

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49

1940-, Smith Robert E., und United States. National Aeronautics and Space Administration., Hrsg. 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. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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50

Publishing, 3D Printer. I Like to Party and by Party I Mean 3D Prints Notebook: Dot Grid Journal 6x9 - 3D Printer Notebook I Gift for 3D Printing Geeks, Modeling Expert and Technology Geek. Independently Published, 2020.

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