Books: 'Distribution network design Problem'

1

Lakervi, E. Electricity distribution network design. London: P. Peregrinus on behalf of the Institution of Electrical Engineers, 1989.

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2

Lakervi, E. Electricity distribution network design. 2nd ed. London: Peter Peregrinus Ltd., on behalf of the Institution of Electrical Engineers, 2003.

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3

Dr, Novak Istvan, ed. Power distribution network design methodologies. Chicago, IL: International Engineering Consortium, 2008.

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4

Zhu, Qing K. Power Distribution Network Design For VLSI. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471660302.

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5

Jones, Gerard F. Gravity-driven water flow in networks: Theory and design. Hoboken, N.J: Wiley, 2010.

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6

Fiambolis, Panagiotis. A network design architecture for distribution of generic scene graphs. Monterey, Calif: Naval Postgraduate School, 1999.

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7

Cesario, Lee. Modeling, analysis, and design of water distribution systems. Denver, CO: American Water Works Association, 1995.

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8

Ben-Ayed, Omar. Solving a real world highway network design problem using bilevel linear programming. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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9

McDonnell, Janet Theresa. Supporting engineering design using knowledge based systems technology with a case study in electricity distribution network design. Uxbridge: Brunel University, 1994.

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10

Ben-Ayed, Omar. Construction of a real world bilevel linear program of the highway network design problem. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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11

Massimi, John J. Truck lane needs methodology: A heuristic approach to solve a five option discrete network design problem. Austin: Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1985.

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12

AWWA Seminar on Network Analysis: Treated Water System Planning, Design, and Operation (1989 Dallas, Tex.). Proceedings: AWWA Seminar on Network Analysis, Treated Water System Planning, Design, and Operation, Distribution System Symposium, Dallas, Texas, September 10, 1989. Denver, CO: American Water Works Association, 1990.

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13

IEEE Industry Applications Society. Power Systems Reliability Subcommittee. and IEEE Standards Board, eds. IEEE recommended practice for the design of reliable industrial and commercial power systems. New York: Institute of Electrical and Electronics Engineers, 1998.

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14

Zhu, Xingwen. ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. 8th ed. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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15

Dubanov, Aleksandr. Computer simulation in pursuit problems. ru: Publishing Center RIOR, 2022. http://dx.doi.org/10.29039/02102-6.

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Currently, computer simulation in virtual reality systems has a special status. In order for a computer model to meet the requirements of the tasks it models, it is necessary that the mathematical apparatus correctly describe the simulated phenomena. In this monograph, the simulation of pursuit problems is carried out. An adaptive modeling of the behavior of both pursuers and targets is carried out. An iterative calculation of the trajectories of the participants in the pursuit problem is carried out. The main attention is paid to the methods of pursuit and parallel rendezvous. These methods are taken as the basis of the study and are modified in the future. The scientific novelty of the study is the iterative calculation of the trajectories of the participants in the pursuit task when moving at a constant speed, while following the predicted trajectories. The predicted trajectories form a one-parameter network of continuous lines of the first order of smoothness. The predicted trajectories are calculated taking into account the restrictions on the curvature of the participant in the pursuit problem. The fact of restrictions on curvature can be interpreted as restrictions on the angular frequency of rotation of the object of the pursuit problem. Also, the novelty is the calculation of the iterative process of group pursuit of multiple targets, when targets are hit simultaneously or at specified intervals. The calculation of the parameters of the network of predicted trajectories is carried out with a curvature variation in order to achieve the desired temporal effect. The work also simulates the adaptive behavior of the pursuer and the target. The principle of behavior can be expressed on the example of a pursuer with a simple phrase: "You go to the left - I go to the left." This happens at each iteration step in terms of choosing the direction of rotation. For the purpose, the principle of adaptive behavior is expressed by the phrase: "You go to the left - I go to the right." The studies, algorithms and models presented in the monograph can be in demand in the design of autonomously controlled unmanned aerial vehicles with elements of artificial intelligence. The task models in the monograph are supplemented with many animated images, where you can see the research process. Also, the tasks have an implementation in a computer mathematics system and can be transferred to virtual reality systems if necessary.

16

Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. xxu: Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.

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General analysis of the distribution of crystals orientation and dislocation density in the polycrystalline system is presented. Recovered information in diffraction of X-rays adopting is new to structure states of polycrystal. Shear phase transformations in metals — at the macroscopic and microscopic levels — become a clear process. Visualizing the advances is produced by program included in package delivered. Mathematical models developing, experimental design, optimal statistical estimation, simulation the system under study and evolution process on loading serves as instrumentation. To reduce advanced methods to research and studies problem-oriented software will promote when installed. Automation programs passed a testing in the National University of Science and Technology “MISIS” (The Russian Federation, Moscow). You score an advantage in theoretical and experimental research in the field of physics of metals.

17

Lakervi, E., and E. J. Holmes. Electricity Distribution Network Design. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbpo021e.

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18

Lakervi, E., and E. J. Holmes. Electricity Distribution Network Design (Power). Institution of Electrical Engineers, 1996.

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19

Novák, István. Power Distribution Network Design Methodologies. Armchair Adventurer, The, 2021.

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20

Zhu, Qing K. Power Distribution Network Design for VLSI. Wiley-Interscience, 2004.

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21

Zhu. Power Distribution Network Design for VLSI. John Wiley & Sons Inc, 2004.

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22

Zhu, Q. Power Distribution Network Design for VLSI. Wiley & Sons, Incorporated, John, 2004.

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23

Zhu, Qing K. Power Distribution Network Design for VLSI. Wiley & Sons, Incorporated, John, 2008.

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24

Jones, Gerard F. Gravity-Driven Water Flow in Networks: Theory and Design. Wiley & Sons, Incorporated, John, 2011.

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25

Jones, Gerard F. Gravity-Driven Water Flow in Networks: Theory and Design. Wiley & Sons, Incorporated, John, 2011.

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26

Lakervi, E., and E. J. Holmes. Electricity Distribution Network Design (I E E Power Engineering Series). 2nd ed. Peter Peregrinus Ltd, 1996.

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27

A Network Design Architecture for Distribution of Generic Scene Graphs. Storming Media, 1999.

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28

Hailer, Angelika. Verification of Branch and Bound Algorithms applied to Water Distribution Network Design. Logos Verlag Berlin, 2006.

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29

Network Design Under Budget Constraints With Application To The Railroad Blocking Problem. Storming Media, 1997.

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30

Ng, Xian Wen. Concise Guide to Heat Exchanger Network Design: A Problem-Based Test Prep for Students. Springer International Publishing AG, 2020.

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31

Ng, Xian Wen. Concise Guide to Heat Exchanger Network Design: A Problem-Based Test Prep for Students. Springer International Publishing AG, 2021.

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32

Training, Instructor Led. Course ILT: Exam 70-221 MCSE Windows 2000 Network Infrastructure Design, 2nd Edition. 2nd ed. Course Technology, 2002.

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33

Proceedings: AWWA Seminar on Network Analysis, Treated Water System Planning, Design, and Operation, Distribution System Symposium, Dallas, Texas, September 10, 1989 (AWWA seminar proceedings). American Water Works Association, 1990.

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34

Ślusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.

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The quality of data collected in official spatial databases is crucial in making strategic decisions as well as in the implementation of planning and design works. Awareness of the level of the quality of these data is also important for individual users of official spatial data. The author presents methods and models of description and evaluation of the quality of spatial data collected in public registers. Data describing the space in the highest degree of detail, which are collected in three databases: land and buildings registry (EGiB), geodetic registry of the land infrastructure network (GESUT) and in database of topographic objects (BDOT500) were analyzed. The results of the research concerned selected aspects of activities in terms of the spatial data quality. These activities include: the assessment of the accuracy of data collected in official spatial databases; determination of the uncertainty of the area of registry parcels, analysis of the risk of damage to the underground infrastructure network due to the quality of spatial data, construction of the quality model of data collected in official databases and visualization of the phenomenon of uncertainty in spatial data. The evaluation of the accuracy of data collected in official, large-scale spatial databases was based on a representative sample of data. The test sample was a set of deviations of coordinates with three variables dX, dY and Dl – deviations from the X and Y coordinates and the length of the point offset vector of the test sample in relation to its position recognized as a faultless. The compatibility of empirical data accuracy distributions with models (theoretical distributions of random variables) was investigated and also the accuracy of the spatial data has been assessed by means of the methods resistant to the outliers. In the process of determination of the accuracy of spatial data collected in public registers, the author’s solution was used – resistant method of the relative frequency. Weight functions, which modify (to varying degree) the sizes of the vectors Dl – the lengths of the points offset vector of the test sample in relation to their position recognized as a faultless were proposed. From the scope of the uncertainty of estimation of the area of registry parcels the impact of the errors of the geodetic network points was determined (points of reference and of the higher class networks) and the effect of the correlation between the coordinates of the same point on the accuracy of the determined plot area. The scope of the correction was determined (in EGiB database) of the plots area, calculated on the basis of re-measurements, performed using equivalent techniques (in terms of accuracy). The analysis of the risk of damage to the underground infrastructure network due to the low quality of spatial data is another research topic presented in the paper. Three main factors have been identified that influence the value of this risk: incompleteness of spatial data sets and insufficient accuracy of determination of the horizontal and vertical position of underground infrastructure. A method for estimation of the project risk has been developed (quantitative and qualitative) and the author’s risk estimation technique, based on the idea of fuzzy logic was proposed. Maps (2D and 3D) of the risk of damage to the underground infrastructure network were developed in the form of large-scale thematic maps, presenting the design risk in qualitative and quantitative form. The data quality model is a set of rules used to describe the quality of these data sets. The model that has been proposed defines a standardized approach for assessing and reporting the quality of EGiB, GESUT and BDOT500 spatial data bases. Quantitative and qualitative rules (automatic, office and field) of data sets control were defined. The minimum sample size and the number of eligible nonconformities in random samples were determined. The data quality elements were described using the following descriptors: range, measure, result, and type and unit of value. Data quality studies were performed according to the users needs. The values of impact weights were determined by the hierarchical analytical process method (AHP). The harmonization of conceptual models of EGiB, GESUT and BDOT500 databases with BDOT10k database was analysed too. It was found that the downloading and supplying of the information in BDOT10k creation and update processes from the analyzed registers are limited. An effective approach to providing spatial data sets users with information concerning data uncertainty are cartographic visualization techniques. Based on the author’s own experience and research works on the quality of official spatial database data examination, the set of methods for visualization of the uncertainty of data bases EGiB, GESUT and BDOT500 was defined. This set includes visualization techniques designed to present three types of uncertainty: location, attribute values and time. Uncertainty of the position was defined (for surface, line, and point objects) using several (three to five) visual variables. Uncertainty of attribute values and time uncertainty, describing (for example) completeness or timeliness of sets, are presented by means of three graphical variables. The research problems presented in the paper are of cognitive and application importance. They indicate on the possibility of effective evaluation of the quality of spatial data collected in public registers and may be an important element of the expert system.

35

Performance Models And Risk Management In Communications Systems. Springer, 2010.

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36

autores, Varios. A practical guidance on estimation of european wild ungulate population density. Ediciones de la Universidad de Castilla-La Mancha, 2022. http://dx.doi.org/10.18239/atenea_2022.41.00.

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Given the diversity of available methods and the geographical diversity of Europe, methodological harmonization is duly needed. The general aim of this guidance is to review the methods for estimating density in European wild ungula¬tes. This guidance is based in previous comprehensive reviews carried out by the ENETWILD Consortium, which propo¬sed general recommendations for practical implementation of methods to estimate wild ungulate density. We present 9 methods used in nineteen wild ruminant species and wild boar distributed across Europe, paying special attention to most practical methods for further implementation in the field to calculate reliable and accurate density estimates, allowing further comparable results over their distribution ranges. This guidance provides recommendations to select the methods to estimate the density and its implementations for ungulate populations with the aim of increasing the output quality (good accuracy and precision). The method should be used in a harmonized way: we provide detailed instructions for the design of most recommended methods, but specific protocols must be specifically adapted to local conditions. Every method on estimating reliable and comparable wild ungulate population density has some advanta¬ges and disadvantages depending on the habitat, the weather conditions and the benefit and do not discard their use if applied in a harmonized way. It arises from this guidance the need of developing a permanent network and a data platform to collect and share local density estimates, so as abundance in the EU.

37

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in smooth unconstrained and constrained optimization, like descent methods, conjugate gradients, Newton and quasi-Newton methods, linear programming and the simplex method, trust region and interior point methods. Furthermore elements of discrete and combinatorial optimization like network optimization, integer programming and heuristic local search methods are also presented. This book presents optimization as a modeling tool that beyond supporting problem formulation plus design and implementation of efficient algorithms, also is a language suited for interdisciplinary human interaction. Readers further become aware that while the roots of mathematical optimization go back to the work of giants like Newton, Lagrange, Cauchy, Euler or Gauss, it did not become a discipline on its own until World War Two. Also that its present momentum really resulted from its symbiosis with modern computers, which made it possible to routinely solve problems with millions of variables and constraints. With his witty, entertaining, yet precise style, Michel Bierlaire captivates his readers and awakens their desire to try out the presented material in a creative mode. One of the outstanding assets of this book is the unified, clear and concise rendering of the various algorithms, which makes them easily readable and translatable into any high level programming language. ''This is an addictive book that I am very pleased to recommend.'' Prof. Thomas M. Liebling

38

Konstantinou, Thaleia, Nataša Ćuković Ignjatović, and Martina Zbašnik-Senegačnik. ENERGY: resources and building performance. TU Delft Bouwkunde, 2018. http://dx.doi.org/10.47982/bookrxiv.25.

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The use of energy in buildings is a complex problem, but it can be reduced and alleviated by making appropriate decisions. Therefore, architects face a major and responsible task of designing the built environment in such a way that its energy dependence will be reduced to a minimum, while at the same time being able to provide comfortable living conditions. Today, architects have many tools at their disposal, facilitating the design process and simultaneously ensuring proper assessment in the early stages of building design. The purpose of this book is to present ongoing research from the universities involved in the project Creating the Network of Knowledge Labs for Sustainable and Resilient Environments (KLABS). This book attempts to highlight the problem of energy use in buildings and propose certain solutions. It consists of nine chapters, organised in three parts. The gathering of chapters into parts serves to identify the different themes that the designer needs to consider, namely energy resources, energy use and comfort, and energy efficiency. Part 1, entitled “Sustainable and Resilient Energy Resources,” sets off by informing the reader about the basic principles of energy sources, production, and use. The chapters give an overview of all forms of energies and energy cycle from resources to end users and evaluate the resilience of renewable energy systems. This information is essential to realise that the building, as an energy consumer, is part of a greater system and the decisions can be made at different levels. Part 2, entitled “Energy and Comfort in the Built Environment”, explain the relationship between energy use and thermal comfort in buildings and how it is predicted. Buildings consume energy to meet the users’ needs and to provide comfort. The appropriate selection of materials has a direct impact on the thermal properties of a building. Moreover, comfort is affected by parameters such as temperature, humidity, air movement, air quality, lighting, and noise. Understanding and calculating those conditions are valuable skills for the designers. After the basics of energy use in buildings have been explained, Part 3, entitled “Energy Saving Strategies” aims to provide information and tools that enable an energy- and environmentally-conscious design. This part is the most extensive as it aims to cover different design aspects. Firstly, passive and active measures that the building design needs to include are explained. Those measures are seen from the perspective of heat flow and generation. The Passive House concept, which is explained in the second chapter of Part 3, is a design approach that successfully incorporates such measures, resulting in low energy use by the building. Other considerations that the following chapters cover are solar control, embodied energy and CO2 emissions, and finally economic evaluation. The energy saving strategies explained in this book, despite not being exhaustive, provide basic knowledge that the designer can use and build upon during the design of new buildings and existing building upgrades. In the context of sustainability and resilience of the built environment, the reduction of energy demand is crucial. This book aims to provide a basic understanding of the energy flows in buildings and the subsequent impact for the building’s operation and its occupants. Most importantly, it covers the principles that need to be taken into account in energy efficient building design and demonstrates their effectiveness. Designers are shaping the built environment and it is their task to make energy-conscious and informed decisions that result in comfortable and resilient buildings.

Books on the topic 'Distribution network design Problem'

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