Relevant bibliographies by topics / Distribution Networks

Academic literature on the topic 'Distribution Networks'

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Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Distribution Networks"

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Hampson, J. "Urban network development [distribution networks]." Power Engineering Journal 15, no. 5 (October 1, 2001): 224–32. http://dx.doi.org/10.1049/pe:20010504.

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Boroojeni, Asma Azizi, Jeremy Dewar, Tong Wu, and James M. Hyman. "Generating bipartite networks with a prescribed joint degree distribution." Journal of Complex Networks 5, no. 6 (June 27, 2017): 839–57. http://dx.doi.org/10.1093/comnet/cnx014.

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Abstract We describe a class of new algorithms to construct bipartite networks that preserves a prescribed degree and joint-degree (degree–degree) distribution of the nodes. Bipartite networks are graphs that can represent real-world interactions between two disjoint sets, such as actor–movie networks, author–article networks, co-occurrence networks and heterosexual partnership networks. Often there is a strong correlation between the degree of a node and the degrees of the neighbours of that node that must be preserved when generating a network that reflects the structure of the underling system. Our bipartite $2K$ ($B2K$) algorithms generate an ensemble of networks that preserve prescribed degree sequences for the two disjoint set of nodes in the bipartite network, and the joint-degree distribution that is the distribution of the degrees of all neighbours of nodes with the same degree. We illustrate the effectiveness of the algorithms on a romance network using the NetworkX software environment to compare other properties of a target network that are not directly enforced by the $B2K$ algorithms. We observe that when average degree of nodes is low, as is the case for romance and heterosexual partnership networks, then the $B2K$ networks tend to preserve additional properties, such as the cluster coefficients, than algorithms that do not preserve the joint-degree distribution of the original network.
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Laylock, W. J. "Intelligent networks [power distribution networks]." Power Engineering Journal 16, no. 1 (February 1, 2002): 25–29. http://dx.doi.org/10.1049/pe:20020104.

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Jones, Chris, and Karoline Wiesner. "Clarifying How Degree Entropies and Degree-Degree Correlations Relate to Network Robustness." Entropy 24, no. 9 (August 24, 2022): 1182. http://dx.doi.org/10.3390/e24091182.

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It is often claimed that the entropy of a network’s degree distribution is a proxy for its robustness. Here, we clarify the link between degree distribution entropy and giant component robustness to node removal by showing that the former merely sets a lower bound to the latter for randomly configured networks when no other network characteristics are specified. Furthermore, we show that, for networks of fixed expected degree that follow degree distributions of the same form, the degree distribution entropy is not indicative of robustness. By contrast, we show that the remaining degree entropy and robustness have a positive monotonic relationship and give an analytic expression for the remaining degree entropy of the log-normal distribution. We also show that degree-degree correlations are not by themselves indicative of a network’s robustness for real networks. We propose an adjustment to how mutual information is measured which better encapsulates structural properties related to robustness.
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Wang, Bing, Zhiwen Sun, and Yuexing Han. "A Path-Based Distribution Measure for Network Comparison." Entropy 22, no. 11 (November 12, 2020): 1287. http://dx.doi.org/10.3390/e22111287.

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As network data increases, it is more common than ever for researchers to analyze a set of networks rather than a single network and measure the difference between networks by developing a number of network comparison methods. Network comparison is able to quantify dissimilarity between networks by comparing the structural topological difference of networks. Here, we propose a kind of measures for network comparison based on the shortest path distribution combined with node centrality, capturing the global topological difference with local features. Based on the characterized path distributions, we define and compare network distance between networks to measure how dissimilar the two networks are, and the network entropy to characterize a typical network system. We find that the network distance is able to discriminate networks generated by different models. Combining more information on end nodes along a path can further amplify the dissimilarity of networks. The network entropy is able to detect tipping points in the evolution of synthetic networks. Extensive numerical simulations reveal the effectivity of the proposed measure in network reduction of multilayer networks, and identification of typical system states in temporal networks as well.
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GOYAL, RAVI, JOSEPH BLITZSTEIN, and VICTOR DE GRUTTOLA. "Sampling networks from their posterior predictive distribution." Network Science 2, no. 1 (April 2014): 107–31. http://dx.doi.org/10.1017/nws.2014.2.

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AbstractRecent research indicates that knowledge about social networks can be leveraged to increase efficiency of interventions (Valente, 2012). However, in many settings, there exists considerable uncertainty regarding the structure of the network. This can render the estimation of potential effects of network-based interventions difficult, as providing appropriate guidance to select interventions often requires a representation of the whole network. In order to make use of the network property estimates to simulate the effect of interventions, it may be beneficial to sample networks from an estimated posterior predictive distribution, which can be specified using a wide range of models. Sampling networks from a posterior predictive distribution of network properties ensures that the uncertainty about network property parameters is adequately captured. The tendency for relationships among network properties to exhibit sharp thresholds has important implications for understanding global network topology in the presence of uncertainty; therefore, it is essential to account for uncertainty. We provide detail needed to sample networks for the specific network properties of degree distribution, mixing frequency, and clustering. Our methods to generate networks are demonstrated using simulated data and data from the National Longitudinal Study of Adolescent Health.
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Masuda, Naoki, and Fanlin Meng. "Dynamical stability of water distribution networks." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2230 (October 2019): 20190291. http://dx.doi.org/10.1098/rspa.2019.0291.

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Water distribution networks are hydraulic infrastructures that aim to meet water demands at their various nodes. Water flows through pipes in the network create nonlinear dynamics on networks. A desirable feature of water distribution networks is high resistance to failures and other shocks to the system. Such threats would at least transiently change the flow rate in various pipes, potentially undermining the functionality of the whole water distribution system. Here we carry out a linear stability analysis for a nonlinear dynamical system representing the flow rate through pipes that are interconnected through an arbitrary pipe network with reservoirs and consumer nodes. We show that the steady state is always locally stable and develop a method to calculate the eigenvalue that corresponds to the mode that decays the most slowly towards the equilibrium, which we use as an index for resilience of the system. We show that the proposed index is positively correlated with the recovery rate of the pipe network, which was derived from a realistic and industrially popular simulator. The present analytical framework is expected to be useful for deploying tools from nonlinear dynamics and network analysis in the design, resilience management and scenario testing of water distribution networks.
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Li, Faxu, Liang Wei, Haixing Zhao, and Feng Hu. "On the Distributions of Subgraph Centralities in Complex Networks." Discrete Dynamics in Nature and Society 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/473248.

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Subgraph centrality measure characterizes the participation of each node in all subgraphs in a network. Smaller subgraphs are given more weight than large ones, which makes this measure appropriate for characterizing network motifs. This measure is better in being able to discriminate the nodes of a network than alternate measures. In this paper, the important issue of subgraph centrality distributions is investigated through theory-guided extensive numerical simulations, for three typical complex network models, namely, the ER random-graph networks, WS small-world networks, and BA scale-free networks. It is found that these three very different types of complex networks share some common features, particularly that the subgraph centrality distributions in increasing order are all insensitive to the network connectivity characteristics, and also found that the probability distributions of subgraph centrality of the ER and of the WS models both follow the gamma distribution, and the BA scale-free networks exhibit a power-law distribution with an exponential cutoff.
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Liang, Jianxiong, Xiaoguang Chen, and Tianyi Wang. "Percolation Distribution in Small-World Quantum Networks." Applied Sciences 12, no. 2 (January 11, 2022): 701. http://dx.doi.org/10.3390/app12020701.

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Quantum networks have good prospects for applications in the future. Compared with classical networks, small-world quantum networks have some interesting properties. The topology of the network can be changed through entanglement exchange operations, and different network topologies will result in different percolation thresholds when performing entanglement percolation. A lower percolation threshold means that quantum networks require fewer minimum resources for communication. Since a shared singlet between two nodes can still be a limitation, concurrency percolation theory (ConPT) can be used to relax the condition. In this paper, we investigate how entanglement distribution is performed in small-world quantum networks to ensure that nodes in the network can communicate with each other by establishing communication links through entanglement swapping. Any node can perform entanglement swapping on only part of the connected edges, which can reduce the influence of each node in the network during entanglement swapping. In addition, the ConPT method is used to reduce the percolation threshold even further, thus obtaining a better network structure and reducing the resources required.
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Henderson, W., and P. G. Taylor. "Some new results on queueing networks with batch movement." Journal of Applied Probability 28, no. 2 (June 1991): 409–21. http://dx.doi.org/10.2307/3214876.

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Product-form equilibrium distributions in networks of queues in which customers move singly have been known since 1957, when Jackson derived some surprising independence results. A product-form equilibrium distribution has also recently been shown to be valid for certain queueing networks with batch arrivals, batch services and even correlated routing.This paper derives the joint equilibrium distribution of states immediately before and after a batch of customers is released into the network. The results are valid for either discrete- or continuous-time queueing networks: previously obtained results can be seen as marginal distributions within a more general framework. A generalisation of the classical ‘arrival theorem' for continuous-time networks is given, which compares the equilibrium distribution as seen by arrivals to the time-averaged equilibrium distribution.
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Dissertations / Theses on the topic "Distribution Networks"

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Masood, Syed Haani. "Distribution of files using network-coding in opportunistic networks." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106560.

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The immense growth in mobile data usage has placed mobile operators in a challenging position. User experience is threatened to degrade due to network capacity issues. The route towards network upgrades is an expensive one especially due to the high licensing fees attached to spectrum acquisition. We propose a scheme based on community identification for distributing large files to subscribers using opportunistic communication. The scheme is able to offload large files from the cellular network and without having to invest in any infrastructure. The cellular network initially seeds the file to the most central subscriber in each community which is then spread to all subscribers via opportunistic contacts. Network coding is utilized for the opportunistic exchange of file packets between subscribers. We show that seeding the file in each community is important to ensure better file delivery times and also reduces the overhead of the number of packet exchanges required during file dissemination. Our scheme also provides incentives for influential subscribers in the network which contribute more towards the opportunistic dissemination of file.
L'immense croissance de l'utilisation des données mobiles a placé les opérateurs mobiles dans une position difficile. L'expérience utilisateur est menacée de se dégrader en raison de problèmes de capacité du réseau. La route vers la mise à niveau du réseau est coûteuse en particulier en raison des frais de licence élevés attachés à l'acquisition du spectre. Nous proposons un schéma basé sur l'identification communautaire pour la distribution de gros fichiers à des abonnés en utilisant la communication opportuniste. Le système est capable de se décharger de gros fichiers sur le réseau cellulaire et sans avoir à investir dans n'importe quelle infrastructure. Le réseau cellulaire d'abord les graines du fichier à l'abonné la plus centrale dans chaque communauté, qui est ensuite étendue à tous les abonnés via des contacts opportunistes. Réseau de codage est utilisé pour l'échange de paquets de fichiers opportunistes entre les abonnés. Nous montrons que l'ensemencement du fichier dans chaque communauté est important pour assurer une meilleure délais de livraison du fichier et réduit également la surcharge du nombre d'échanges de paquets nécessaires pendant la diffusion de fichiers. Notre programme prévoit également des incitations pour les abonnés influents dans le réseau qui contribuent davantage vers la diffusion opportuniste de fichier.
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Zhou, Lin. "Active network management and uncertainty analysis in distribution networks." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.675697.

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In distribution networks, the traditional way to eliminate network stresses caused by increasing generation and demand is to reinforce the primary network assets. A cheaper alternative is active network management (ANM) which refers to real-time network control to resolve power flow, voltage, fault current and security issues. However, there are two limitations in ANM. First, previous ANM strategies investigated generation side and demand side management separately. The generation side management evaluates the value from ANM in terms of economic generation curtailment. It does not consider the potential benefits from integrating demand side response such as economically shifting flexible load over time. Second, enhancing generation side management with load shifting requires the prediction of network stress whose accuracy will decrease as the lead time increases. The uncertain prediction implies the potential failure of reaching expected operational benefits. However, there is very limited investigation into the trade-offs between operational benefit and its potential risk. In order to tackle the challenges, there are two aspects of research work in this thesis. 1) Enhanced ANM. It proposes the use of electric vehicles (EVs) as responsive demand to complement generation curtailment strategies in relieving network stress. This is achieved by shifting flexible EV charging demand over time to absorb excessive wind generation when they cannot be exported to the supply network. 2) Uncertainty management. It adopts Sharpe Ratio and Risk Adjust Return On Capital concepts from financial risk management to help the enhanced ANM make operational decisions when both operational benefit and its associated risk are considered. Copula theory is applied to further integrate correlations of forecasting errors between nodal power injections (caused by wind and load forecasting) into uncertainty management. The enhanced ANM can further improve network efficiency of the existing distribution networks to accommodate increasing renewable generation. The cost-benefit assessment informs distribution network operators of the trade-off between investment in ANM strategy and in the primary network assets, thus helping them to make cost-effective investment decisions. The uncertainty management allows the impact of risks that arise from network stress prediction on the expected operational benefits to be properly assessed, thus extending the traditional deterministic cost-benefit assessment to cost-benefit-risk assessment. Moreover, it is scalable to other systems in any size with low computational burden, which is the major contribution of this thesis.
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Weinstein, Lee. "Scale free networks and their power law distribution." Diss., Connect to the thesis, 2005. http://hdl.handle.net/10066/3880.

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Memarian, Neda. "Resilience of Water Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Resilience is widely interpreted as the capacity of a system to resist (preparation phase), absorb and withstand (responding phase), and rapidly recover from (restoration phase) exceptional conditions. During this study, a mixed variety of calculations were assessed in order to find the best solution for determination of resilience and reliability of a simple network. Then, Todini’s formula and failure index was applied to estimate reliability of system in different scenarios as constant demands in period of 24 hours, constant demands in period of 72 hours when tank will be empty (failure of tank), variable demands in period of 24 hours. At first hydraulic simulation of those scenarios was done by EPANET and validated by MATLAB-TOOLKIT. Then, Resilience index (RI), Failure Index (FI) and reliability (R) of system were measured. Finally, an optimization procedure was done to make a water distribution network with highest resilience and lowest failure probability. All these procedures have been applied on a real network as WDS of Modena. It concluded that this method can be used for every water system without considering the type of failure. As a result, first scenario has a constant decreased and increased trend of RI and FI respectively because of diminishing of water level in tank. During second scenario, there is significant change after the tank will be empty (or it is broke). Third scenario is more like a real network with variable demand during a day. It was concluded that there is a minimum resilience parameter during day when a peak time of water demand expected. It can be justified that the reservoir and pump system had to sustain more pressure to satisfy the demands of junctions. Maximum resilience is related to night during a day with less demands and providing water by tank to other junctions. This modelling could be useful to optimize the dimensions and features of instruments to increase availability and reliability of system.
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Ozdem, Mehmet. "Video Distribution Over Ip Networks." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608187/index.pdf.

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As applications like IPTV and VoD (Video on demand) are gaining popularity, it is becoming more important to study the behavior of video signals in the Internet access infrastructures such as ADSL and cable networks. Average delay, average jitter and packet loss in these networks affect the quality of service, hence transmission and access speeds need to be determined such that these parameters are minimized. In this study the behavior of the above mentioned IP networks under variable bit rate (VBR) video traffic is investigated. ns-2 simulator is used for this purpose and actual as well as artificially generated signals are applied to the networks under test. Variable bit rate (VBR) traffic is generated synthetically using ON/OFF sources with ON/OFF times taken from exponential or Pareto distributions. As VBR video shows long range dependence with a Hurst parameter between 0.5 and 1, this parameter was used as a metric to measure the accuracy of the synthetic sources. Two different topologies were simulated in this study: one similar to ADSL access networks and the other behaving like cable distribution network. The performance of the networks (delay, jitter and packet loss) under VBR video traffic and different access speeds were measured. According to the obtained results, minimum access speeds in order achieve acceptable quality video delivery to the customers were suggested.
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Ar, Kerem. "Calibration Of Water Distribution Networks." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12613934/index.pdf.

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Water distribution network models are used for different purposes. In this study, a model, used for daily operational issues is concerned. Models results should be consistent with actual conditions for sound decisions during operational studies. Adjusting model parameters according to site measurements in order to fit the model to obtain realistic results is known as calibration. Researchers have carried out numerous studies on calibration and developed various methods. In this study, an actual network (N8.3 Pressure Zone, Ankara) has been calibrated by two classical methods developed by Walski (1983) and Bhave (1988). The network parameter calibrated in this study is Hazen-Williams roughness coefficient, C-factor, and other parameters have been lumped in the C-factor. Results of the analysis showed that, C-factors have been found in a wide range.
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Sendil, Halil. "Operation Of Water Distribution Networks." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615484/index.pdf.

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With continuously increasing urbanization, consumer demands and expansion of water supply systems, determination of efficient pump schedules became a more difficult task. Pumping energy costs constitute a significant part of the operational cost of the water distribution networks. This study aims to provide an effective daily pump schedule by minimizing the energy costs for constant and also for multi tariff of electricity (3 Kademeli Elektrik Tarifesi) in water distribution network. A case study has been performed in an area covering N8.3 and N7 pressure zones which are parts of Ankara water distribution network. Both pressure zones consists of 3 multiple pumps in pump station and one tank having 5000 m3 storage volume each. By using genetic algorithm based software (WaterCAD Darwin Scheduler) least-cost pump scheduling and operation policy for each pump station has been determined while satisfying target hydraulic performance requirements such as minimum and maximum service pressures, final water level of storage tank and maximum velocity in pipeline. 32 different alternative scenarios have been created which include multi tariff energy prices, constant tariff energy price, insulated system condition, uninsulated system condition and different pump combinations. The existing base scenario and alternative scenarios which were prepared by using optimal pump schedules have been compared and the achievements of optimizing pump operation have been analyzed. At the end of the study, a satisfying result has been observed that by using determined optimal pump schedule, minimum % 14 of total energy cost can be saved in existing water supply system.
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Khelifa, Abdelghafor. "Design of optimal distribution networks." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46391.

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Cobelo, I. "Active control of distribution networks." Thesis, University of Manchester, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685442.

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Nasiev, Diar. "Statistical mechanics of distribution networks." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15362/.

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We present a stability analysis against cascading failures. We propose a spin [binary] model, based on concepts of statistical mechanics. We test macroscopic properties of distribution networks with respect to various topological structures and distributions of microparameters. The equilibrium properties of the systems are obtained in a statistical mechanics framework by application of the replica method. We demonstrate the validity of our approach by comparing it with Monte Carlo simulations. We analyse the network properties in terms of phase diagrams and found both qualitative and quantitative dependence of the network properties on the network structure and macroparameters. The structure of the phase diagrams points at the existence of phase transition and the presence of stable and metastable states in the system. We also present an analysis of robustness against overloading in the distribution networks.
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Books on the topic "Distribution Networks"

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Hadjsaïd, Nouredine, and Jean-Claude Sabonnadi`re, eds. Electrical Distribution Networks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.

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Electrical distribution networks. London: ISTE, 2011.

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Wang, Chengshan, Jianzhong Wu, Janaka Ekanayake, and Nick Jenkins. Smart Electricity Distribution Networks. Edited by Chengshan Wang, Jianzhong Wu, Janaka Ekanayake, and Nick Jenkins. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2017]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315373324.

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Mehic, Miralem, Stefan Rass, Peppino Fazio, and Miroslav Voznak. Quantum Key Distribution Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06608-5.

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Popescu, Adrian, ed. Greening Video Distribution Networks. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71718-0.

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Friedman, Eby G., ed. High Performance Clock Distribution Networks. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4684-8440-3.

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G, Friedman Eby, ed. High performance clock distribution networks. Boston: Kluwer Academic Publishers, 1997.

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Bhave, Pramod R. Analysis of water distribution networks. Oxford, U.K: Alpha Science International, 2006.

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1928-, Holmes E. J., and Institution of Electrical Engineers, eds. Protection of electricity distribution networks. London: Institution of Electrical Engineers, 1998.

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Peter, Crossley, Chowdhury S. P, and Knovel (Firm), eds. Microgrids and active distribution networks. London: Institution of Engineering and Technology, 2009.

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Book chapters on the topic "Distribution Networks"

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Seshadri, V. "Electrical networks." In The Inverse Gaussian Distribution, 198–202. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1456-4_12.

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Hadjsaïd, Nouredine, Jean-Claude Sabonnadière, and Jean-Pierre Angelier. "The Electrical Distribution Network: From Heritage to Innovation." In Electrical Distribution Networks, 1–39. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch1.

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Raison, Bertrand, Olivier Chilard, Delcho Penkov, and Duc Cong Pham. "Protection, Detection and Isolation of Faults in MV Networks in the Presence of Decentralized Production." In Electrical Distribution Networks, 351–94. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch10.

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Boëda, Didier, Christophe Kieny, and Daniel Roye. "Load Control in the Management of Distribution Systems." In Electrical Distribution Networks, 395–414. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch11.

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Bacha, Seddik, David Frey, Erwan Lepelleter, and Raphaël Caire. "Power Electronics in the Future Distribution Grid." In Electrical Distribution Networks, 415–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch12.

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Foggia, Guillaume, Christophe Kieny, and Joseph Maire. "Virtual Power Systems for Active Networks." In Electrical Distribution Networks, 439–58. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch13.

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Hadjsaïd, Nouredine, and Jean-Claude Sabonnadière. "Towards Smart Grids." In Electrical Distribution Networks, 459–85. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch14.

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Alvarez-Hérault, Marie-Cécile, Raphaël Caire, Sylvain Martino, Christophe Andrieu, and Bertrand Raison. "Characteristics of Distribution Networks." In Electrical Distribution Networks, 41–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch2.

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Gaztañaga, Haizea, Raphaël Caire, Seddik Bacha, and Daniel Roye. "Overview of Decentralized Means of Production." In Electrical Distribution Networks, 83–121. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch3.

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Clastres, Cédric, Philippe Menanteau, and Lina-Maria Ruiz. "Connection to the Decentralized Production Network: Regulatory and Economic Aspects." In Electrical Distribution Networks, 123–60. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601280.ch4.

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Conference papers on the topic "Distribution Networks"

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Kasim, A. F. B. "Optimal design of distribution networks using network configuration and load." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970648.

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Porrino, A. "Lightning protection of distribution networks. II. Application to MV networks." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970495.

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Chan, Vincent W. S., Serena Chan, and Shayan Mookherjea. "Optical distribution networks." In Opticom 2000, edited by Imrich Chlamtac. SPIE, 2000. http://dx.doi.org/10.1117/12.401811.

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Solvik, N. A. "Concept for optimised operation of distribution networks." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970580.

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Nimrihter, M. D. "Reliability indices estimation of unstationary distribution networks." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970640.

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Haubrich, H. J. "Voltage control in medium-voltage distribution networks." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970653.

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Madlenak, Radovan, Lucia Madlenakova, Peter Szatmari, and Gyoergy Ivan Neszmelyi. "Distribution networks in national and crossborder e-commerce." In 22nd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering, 2023. http://dx.doi.org/10.22616/erdev.2023.22.tf152.

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This article deals with the classification and creation of logistic distribution models. The main objective of the article is to create the methodology for designing a global distribution network (GDN). The suitable GDN could play a significant role in the global supply chain and try to fulfil the needs of companies while entering foreign markets. Logistic operators with their optimized networks help facilitate international trade to deliver parcels, packages, partnering with express, courier services embracing mobile and online technologies, provide financial services etc. On the basis of these needs the methodology of designing the logistics network for cross-border or national logistics network will be formulated.
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Zhao Chenxu, Sun Minghao, and Hanyu. "Distribution networks distribution network condition based maintenance application present situation and development." In 2014 China International Conference on Electricity Distribution (CICED). IEEE, 2014. http://dx.doi.org/10.1109/ciced.2014.6991736.

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Krahl, S., S. Ohrem, and H. J. Haubrich. "Probability distributions of reliability indices of electrical distribution networks." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.0714.

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Chen, Yung-Kuang, and Sien Chi. "Fault-locating technique for multi-staged optical distribution networks." In The European Conference on Lasers and Electro-Optics. Washington, D.C.: Optica Publishing Group, 1994. http://dx.doi.org/10.1364/cleo_europe.1994.cwj3.

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Optical power splitters are extensively used in many fiber-optic distribution networks such as CATV and fiber-to-the-home systems. Techniques for locating any fiber link faults become more important after the installation of such distribution networks. However, today's optical time-domain reflectometer (OTDR) is unable to diagnose N-branched networks, e.g., N > 4, due to lack of high spatial resolution with sufficient singleway dynamic range (SDR). To overcome this problem, we propose and demonstrate a fault-locating technique for large multistaged branched networks. The requirement of ultra-wide SDR with high resolution of an OTDR to diagnose a large distribution network can be tremendously relaxed by the introduction of optical switches and the wavelength division multiplexing technique.
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Reports on the topic "Distribution Networks"

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Deka, Deepjyoti, Michael Chertkov, and Scott N. Backhaus. Structure Learning in Power Distribution Networks. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1167238.

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Taft, Jeffrey D., and Renke Huang. Distribution Storage Networks (Draft Version 0.3). Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1523380.

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Vugrin, Eric D., and Mark Alan Turnquist. Design for resilience in infrastructure distribution networks. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1051705.

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O'Hern, Timothy, Glenn Hammond, Leslie Orear, Bart van Bloemen Waanders, Paul Molina, and Ross Johnson. Physical Modeling of Scaled Water Distribution System Networks. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/1143374.

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Bezawada, Bruhadeshwar, and Sandeep S. Kulkarni. An Optimal Symmetric Secret Distribution of Star Networks. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada471506.

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Singh, Kavinesh, Andy Philpott, and Kevin Wood. Column-Generation for Design of Survivable Electricity Distribution Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada486857.

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Zimmerman, Adam, Timothy John O'Hern, Leslie Jr Orear, Karen C. Kajder, Stephen Walter Webb, Malynda A. Cappelle, Siri Sahib Khalsa, et al. Joint physical and numerical modeling of water distribution networks. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/961658.

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Huneeus, Federico, Borja Larrain, Mauricio Larrain, and Mounu Prem. Ownership Networks and Earnings Inequality. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004265.

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We use matched employer-employee data together with data on the ownership networks of Chilean firms to document a novel relationship between inequality in labor income and ownership structures. Exploiting transitions of firms in and out of networks, we show that network affiliation is associated with higher inequality along two dimensions. First, network firms pay higher average wages than stand-alone firms, increasing between-firm inequality. Second, the dispersion of wages within a network firm is higher than within a stand-alone firm, increasing within-firm inequality. The effects are driven by increases in the wages of top workers, and by the entry of new top workers. Our findings shed light on the relationship between ownership structures and the distribution of labor income in the economy.
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Deka, Deepjyoti, Scott N. Backhaus, and Michael Chertkov. Structure Learning and Statistical Estimation in Distribution Networks - Part II. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170265.

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Deka, Deepjyoti, Scott N. Backhaus, and Michael Chertkov. Structure Learning and Statistical Estimation in Distribution Networks - Part I. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170267.

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