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Relevant bibliographies by topics / Network planning

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Academic literature on the topic 'Network planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Journal articles on the topic "Network planning"

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D Dhole, Gopi, and M. D Khardenvis. "Dynamic Transmission Network Expansion Planning." International Journal of Scientific Engineering and Research 3, no. 6 (June 27, 2015): 114–17. https://doi.org/10.70729/ijser15279.

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Bollapragada, Ramesh, Thomas B. Morawski, Luz E. Pinzon, Steven H. Richman, and Raymond Sackett. "Network Planning of Broadband Wireless Networks." Interfaces 37, no. 2 (April 2007): 143–62. http://dx.doi.org/10.1287/inte.1060.0284.

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Liu, Qiang, Min Chen, Jie Zhang, Bingwen Shen, and Zhong Chu. "Network Planning for WiMAX-R Networks." JUCS - Journal of Universal Computer Science 18, no. (9) (May 1, 2012): 1194–217. https://doi.org/10.3217/jucs-018-09-1194.

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In this paper, a novel network planning process of the Mobile WiMAX for Railway (WiMAX-R) network is proposed. We first analyze the factors need considered in network planning. After introducing the WiMAX-R network architecture, the WiMAX-R network planning process is presented in detail. The process comprises application analysis, capacity prediction, network parameters configuring, coverage planning, handover planning and network simulation validation. In each step, Mobile WiMAX technical features and railway environment characters are both take into consideration. Finally, we simulated a WiMAX-R planning example based on OPNET platform. The simulation results showed that the designed WiMAX-R network can perfectly satisfy the applications' QoS requirements.

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Velasco, L., D. King, O. Gerstel, Ramon Casellas, A. Castro, and Víctor López. "In-operation Network Planning." IEEE Communications Magazine 52, no. 1 (January 1, 2014): 52–60. https://doi.org/10.5281/zenodo.58187.

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Current transport networks are statically configured and managed, because they experience a rather limited traffic dynamicity. As a result, long planning cycles are used to upgrade the network and prepare it for the next planning period. Aimed at guaranteeing that the network can support the forecast traffic and deal with failure scenarios, spare capacity is usually installed, thus increasing network expenditures. Moreover, results from network capacity planning are manually deployed in the network, which limits the network agility. In this article, we propose a control and management architecture to allow the network to be dynamically operated. Employing those dynamicity capabilities, the network can be reconfigured and reoptimized in response to traffic changes in an automatic fashion; hence, the resource overprovisioning can be minimized and overall network costs reduced.

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Koutitas, George. "Green Network Planning of Single Frequency Networks." IEEE Transactions on Broadcasting 56, no. 4 (December 2010): 541–50. http://dx.doi.org/10.1109/tbc.2010.2056252.

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PELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (January 21, 2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.

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We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

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Wombell, S. "Network capacity planning." IEE Review 45, no. 2 (March 1, 1999): 79–80. http://dx.doi.org/10.1049/ir:19990211.

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Song, Zhuoran, Jianfeng Li, Tao Jiang, and Sichen Lu. "Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network." Scalable Computing: Practice and Experience 24, no. 3 (September 10, 2023): 429–38. http://dx.doi.org/10.12694/scpe.v24i3.2288.

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This paper introduces a novel distribution network planning method that addresses the limitations of conventional approaches. The existing methods primarily focus on optimizing component objectives using reliability analysis, which results in inadequate operational power control performance due to neglecting the coupling degree analysis of distribution network subprojects. To overcome this limitation, the proposed method incorporates the coupling of the traffic and distribution networks into the planning process. The method involves modeling the transportation network and analyzing the coupling characteristics of the planning items. Specifically, the energy efficiency coupling degree is calculated to assess the degree of coupling. Based on this analysis, the planning nodes are strategically deployed, and a comprehensive planning model is constructed. The model is then subjected to constraints and solved to obtain an optimal distribution network planning scheme. To evaluate the effectiveness of the proposed method, experiments are conducted to assess its operational power control capability. The experimental results demonstrate that when the proposed method is employed for distribution network planning, it reduces operating power and achieves a more desirable planning outcome. The novelty of this work lies in integrating the coupling analysis of the traffic network and the distribution network into the planning process. Considering the interdependencies between these networks, the proposed method enables a more comprehensive and efficient distribution network planning scheme. This approach enhances operational power control performance and improves the overall effectiveness of distribution network planning.

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Mayregger, Patrick. "Systematization of network planning procedures and network structure adjustments in urban transport network planning." Transportation Research Procedia 72 (2023): 2149–56. http://dx.doi.org/10.1016/j.trpro.2023.11.700.

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Prof. Y. B. Gurav, Prof Y. B. Gurav, and Manjiri Deshmukh. "Query Planning of Continuous Aggregation Queries Over Network." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 140–43. http://dx.doi.org/10.15373/2249555x/may2013/42.

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Dissertations / Theses on the topic "Network planning"

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Malmgren, Göran. "Network Planning of Single Frequency Broadcasting Networks." Licentiate thesis, KTH, Signaler, sensorer och system, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28559.

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Conner, Steven. "Automated distribution network planning with active network management." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28818.

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Renewable energy generation is becoming a major part of energy supply, often in the form of distributed generation (DG) connected to distribution networks. While growth has been rapid, there is awareness that limitations on spare capacity within distribution (and transmission) networks is holding back development. Developments are being shelved until new network reinforcements can be built, which may make some projects non-viable. Reinforcements are costly and often underutilised, typically only loaded to their limits for a few occasions during the year. In order to accommodate new DG without the high costs or delays, active network management (ANM) is being promoted in which generation and other network assets are controlled within the limits of the existing network. There is a great deal of complexity and uncertainty associated with developing ANM and devising coherent plans to accommodate new DG is challenging for Distribution Network Operators (DNOs). As such, there is a need for robust network planning tools that can explicitly handle ANM and which can be trusted and implemented easily. This thesis describes the need for and the development of a new distribution expansion planning framework that provides DNOs with a better understanding of the impacts created by renewable DG and the value of ANM. This revolves around a heuristic planning framework which schedules necessary upgrades in power lines and transformers associated with changes in demand as well as those driven by the connection of DG. Within this framework a form of decentralised, adaptive control of DG output has been introduced to allow estimation of the impact of managing voltage and power flow constraints on the timing and need for network upgrades. The framework is initially deployed using simple scenarios but a further advance is the explicit use of time series to provide substantially improved estimates of the levels of curtailment implied by ANM. In addition, a simplified approach to incorporating demand side management has been deployed to facilitate understanding of the scope and role this may play in facilitating DG connections.

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Ligeti, Agnes. "Single frequency network planning." Doctoral thesis, KTH, Signals, Sensors and Systems, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2857.

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Garbhapu, Venkata Virajit. "Impairement Aware Network Planning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT026.

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Les réseaux optiques sont l’épine dorsale de la communication mondiale de données, essentiels pour répondre à la demande croissante de réseaux rapides et fiables. Cette thèse aborde deux défis principaux : le besoin de capacité accrue et l’intégration de nouvelles fonctionnalités optiques. La demande incessante de capacité a poussé les limites de l’infrastructure actuelle, et bien que des solutions telles que l’ajout de fibres, l’extension du spectre ou l’utilisation de transpondeurs flexibles soient possibles, elles entraînent des dépenses en capital importantes. Nous proposons des heuristiques à l’échelle du réseau qui modélisent les dégradations linéaires et non linéaires et suggèrent des allocations de puissance par canal pour maximiser le SNR à l’échelle du réseau, augmentant ainsi la capacité. Le deuxième défi concerne l’intégration de nouvelles fonctionnalités optiques, ce qui nécessite de prendre en compte les interactions au niveau du réseau et de la couche physique. Les outils SDN traditionnels négligent souvent la couche physique, c’est pourquoi nous avons développé un simulateur de réseau optique qui intègre l’impact de la couche physique dans la planification du réseau. Nous démontrons l’intégration d’une fonctionnalité optique, la distribution quantique de clés (QKD), qui améliore la sécurité grâce aux principes de la mécanique quantique. En optimisant le placement des longueurs d’onde pour minimiser le bruit Raman, nous proposons des heuristiques à l’échelle du réseau qui améliorent la coexistence des signaux QKD et classiques dans la même bande. Relever ces défis souligne l’importance de la planification des réseaux sensibilisée aux impairments, formant le cœur de la conception des futurs réseaux optiques pour répondre aux demandes croissantes avec une efficacité, une capacité et une sécurité accrues<br>Optical networks are the backbone of global data communication, essential for meeting the ever-growing demand for high-speed, reliable networks. This thesis addresses two key challenges: the need for higher capacity and the integration of new optical functionalities. The relentless demand for capacity has pushed the limits of current infrastructure, and while solutions like additional fibers, extended spectrum, or new flex-rate transponders are possible, they come with significant capital expenditure. We propose network-wide heuristics that model linear and nonlinear impairments and suggest per-channel power allocations to maximize network-wide SNR, thus enhancing capacity. The second challenge involves integrating new optical functionalities, which requires consideration of both network-level and physical-layer interactions. Traditional SDN tools often overlook the physical layer, so we developed an optical network simulator that incorporates physical layer impairments into network planning. We demonstrate the integration of an example optical functionality Quantum Key Distribution (QKD), that enhances security through quantum mechanics principles. By optimizing wavelength placement to minimize Raman noise, we propose network-wide heuristics that improve the coexistence of QKD and classical signals in the same band. Addressing these challenges underscores the importance of impairment-aware network planning, forming the core of future optical network design to meet growing demands with enhanced efficiency, capacity, and security

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LUZ, AIRTON LOBATO. "PLANNING OF A DISTRIBUITION NETWORK." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1992. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8800@1.

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Este trabalho apresenta uma metodologia e correspondente programa computacional para o planejamento da expansão de uma rede distribuição que permite determinar, por exemplo, a localização de banco de capacitores e de reguladores de tensão e/ou auto-boosters, o ganho de tensão e redução de perdas elétricas com a troca de condutores. A metodologia proposta é baseada na solução do problema de fluxo de potência desenvolvido especificamente para a distribuição. O trabalho automatiza procedimentos rotineiros do planejamento dos sistemas de distribuição, aumentando sua eficiência na análise correta de alternativas, auxiliando o planejador na tomada de decisões para determinar a expansão dos sistemas de distribuição. Testes com sistema da COELBA são apresentados.<br>This work presentes a methodology and a digital computer program for the expansion planning of a distribuition network that allows to determine, for exemple, the location of capacitors bank and voltage regulators and/or automatic-boosters, voltage gain and redution of electrical losses with the changing of conductors. The proposed methodology is based on the solution of the power flow problem developd espcifically to distribution systems. The work automatizes common procedures for distribuition systems planing, increasing its efficiency in choosing correct alternatives, aidding the planer to make decisions to determine the distribution systems expansion. Several tests with COELBA system s are presented.

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Tarhini, Hussein Ali. "Network Models In Evacuation Planning." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64359.

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This dissertation addresses the development and analysis of optimization models for evacuation planning. Specifically we consider the cases of large-scale regional evacuation using household vehicles and hospital evacuation. Since it is difficult to estimate the exact number of people evacuating, we first consider the case where the population size is uncertain. We review the methods studied in the literature, mainly the strategy of using a deterministic counterpart, i.e., a single deterministic parameter to represent the uncertain population, and we show that these methods are not very effective in generating a good traffic management strategy. We provide alternatives, where we describe some networks where an optimal policy exist independent of the demand realization and we propose some simple heuristics for more complex ones. Next we consider the traffic management tools that can be generated from an evacuation plan. We start by introducing the cell transmission model with flow reduction. This model captures the flow reduction after the onset of congestion. We then discuss the management tools that can be extracted from this model. We also propose some simplification to the model formulation to enhance its tractability. A heuristic for generating a solution is also proposed, and its solution quality is analyzed. Finally, we discuss the hospital evacuation problem where we develop an integer programming model that integrates the building evacuation with the transportation of patients. The impact of building evacuation capabilities on the transportation plan is investigated through the case of a large regional hospital case study. We also propose a decomposition scheme to improve the tractability of the integer program.<br>Ph. D.

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Vohnout, Sonia Isabel 1964. "Diverse routing in network planning." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/291952.

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This thesis discusses an algorithm and two heuristics for solving a particular network optimization problem: The node-disjoint paths problem. The goal of this optimization problem is to find two node-disjoint paths between a given origin-destination pair whose total cost is minimum. This problem is shown to be NP-Hard. Two heuristics are investigated in this thesis. The sequential shortest paths heuristic, is the faster of the two methods, but the quality of the solution may be sacrificed. On the other hand, the simultaneous shortest paths heuristic, which yields very good solutions, has higher complexity. We also discuss an implicit enumeration algorithm that is used to verify the quality of the solution obtained from the heuristics.

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Foroughi, Parisa. "Towards network automation : planning and monitoring." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT038.

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La gestion de réseau subit des changements radicaux en raison des attentes élevées de l’infrastructure pour supporter de nouveaux services. Les diverses exigences de ces services nécessitent l’intégration de nouvelles technologies habilitantes qui compliquent le processus de surveillance et de planification du réseau. Par conséquent, pour alléger la charge et augmenter la précision de la surveillance et de la planification, des solutions plus automatisées au niveau des éléments/dispositifs sont nécessaires. Dans cette thèse, nous proposons un cadre semi-automatique appelé AI-driven telemetry (ADT) pour collecter, traiter et évaluer l’état des routeurs en utilisant des données de télémétrie en continu. ADT se compose de 4 blocs de construction : le collecteur, le détecteur, l’explicateur et l’exportateur. Nous nous concentrons sur le bloc de détection dans ADT et proposons une technique de détection de changement en ligne multi-variable appelée DESTIN. Notre étude sur le bloc d’explication de la TAD se limite à explorer le potentiel des données d’entrée et à montrer la possibilité d’une description automatique des événements. Ensuite, nous abordons le problème de la planification et du dimensionnement dans les réseaux d’accès radio équipés de serveurs périphériques distribués. Nous proposons un modèle qui satisfait aux exigences de service et utilise les nouvelles technologies habilitantes, c’est-à-dire le découpage en tranches du réseau et les techniques de virtualisation. Nous montrons les avantages de l’utilisation de notre modèle holistique pour automatiser la planification des réseaux d’accès radio en utilisant le recuit simulé et les méthodes gourmandes<br>Network management is undergoing drastic changes due to the high expectations of the infrastructure to support new services. The diverse requirements of these services, call for the integration of new enabler technologies that complicate the network monitoring and planning process. Therefore, to alleviate the burden and increase the monitoring and planning accuracy, more automated solutions on the element/device level are required. In this thesis, we propose a semi-automated framework called AI-driven telemetry (ADT) for collecting, processing, and assessing the state of routers using streaming telemetry data. ADT consists of 4 building blocks: collector, detector, explainer, and exporter. We concentrate on the detection block in ADT and propose a multi-variate online change detection technique called DESTIN. Our study on the explainer block of ADT is limited to exploring the potential of the input data and showcasing the possibility of the automated event description. Then, we tackle the problem of planning and dimensioning in radio access networks equipped with distributed edge servers. We propose a model that satisfies the service requirements and makes use of novel enabler technologies, i.e. network slicing and virtualization techniques. We showcase the advantages of using our holistic model to automate RAN planning by utilizing simulated annealing and greedy methods

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Margraf, Jeffrey A. "Decision support for network connectivity planning." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA319588.

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Thesis (M.S. in Information Technology Management) Naval Postgraduate School, September 1996.<br>Thesis advisor(s): S. Sridhar, H.K. Bhargava. "September 1996." Includes bibliographical references (p. 125). Also available online.

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Barlow, Philip R. "Planning considerations for secure network protocols/." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA361958.

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Books on the topic "Network planning"

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1966-, Bijlsma Like, ed. Netwerk-steden-bouw =: Network urbanism. Nijmegen: SUN, 2000.

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Sansò, Brunilde, and Patrick Soriano, eds. Telecommunications Network Planning. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5087-7.

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1960-, Sansó Brunilde, and Soriano Patrick, eds. Telecommunications network planning. Boston: Kluwer Academic, 1999.

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Shahnia, Farhad, Ali Arefi, and Gerard Ledwich, eds. Electric Distribution Network Planning. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3.

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1954-, Pardalos P. M., Hearn D. W, and Hager William W. 1948-, eds. Network optimization. Berlin: Springer, 1997.

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Jeroen, Van Schaick, Klaasen, I. T. (Ina T.), and Technische Universiteit Delft. Faculteit der Bouwkunde, eds. Urban networks: Network urbanism. Amsterdam, The Netherlands: Techne Press, 2008.

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Abdelghany, Ahmed, and Khaled Abdelghany. Airline Network Planning and Scheduling. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119275909.

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Simmons, Jane M. Optical Network Design and Planning. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05227-4.

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Zhang, Yan. WiMAX network planning and optimization. Boca Raton, FL: Auerbach Publications, 2009.

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Simmons, Jane M. Optical network design and planning. New York: Springer, 2008.

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Book chapters on the topic "Network planning"

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Ganesan, Ramnath. "Network Planning." In The Profitable Supply Chain, 193–214. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0526-6_6.

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Krishnamurthy, Trichy Venkataraman, and Rajaneesh Shetty. "Network Planning." In 4G: Deployment Strategies and Operational Implications, 1–36. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6326-5_1.

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Olsen, Brian, Pablo Tapia, Jussi Reunanen, and Harri Holma. "Network Planning." In HSPA+ Evolution to Release 12, 213–51. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118693728.ch11.

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Weik, Martin H. "network planning." In Computer Science and Communications Dictionary, 1089. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12263.

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Simchi-Levi, David, Xin Chen, and Julien Bramel. "Network Planning." In The Logic of Logistics, 379–402. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9149-1_20.

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Herroelen, Willy S., and Graham K. Rand. "Network Planning." In Encyclopedia of Operations Research and Management Science, 1032–37. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_665.

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White, Peter. "Network planning." In Public Transport, 131–57. Edition 6. | New York : Routledge, 2016. | Series: The natural and built environment series | Revised edition of the author’s Public transport, 2009.: Routledge, 2016. http://dx.doi.org/10.4324/9781315675770-7.

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de Alencar, Marcelo Sampaio, and Djalma de Melo Carvalho Filho. "Cell Planning." In Cellular Network Planning, 83–106. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337478-3.

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Stadtler, Hartmut. "Master Planning - Supply Network Planning." In Advanced Planning in Supply Chains, 109–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24215-1_6.

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Kasilingam, Raja G. "Logistics network planning." In Logistics and Transportation, 47–56. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5277-2_3.

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Conference papers on the topic "Network planning"

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Barreto, Priscila Solis, and Paulo H. P. de Carvalho. "Network Planning Optimization for Multimedia Networks." In 2008 7th IEEE International Symposium on Network Computing and Applications (NCA). IEEE, 2008. http://dx.doi.org/10.1109/nca.2008.30.

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Lin, Yuan-Hao. "MAN network planning." In Asia-Pacific Optical and Wireless Communications Conference and Exhibit, edited by Xiaomin Ren and Tomonori Aoyama. SPIE, 2001. http://dx.doi.org/10.1117/12.445146.

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Eichenser, B. J. "Planning the network." In IEE Colloquium on Making Life Easier - Network Design and Management Tools. IEE, 1996. http://dx.doi.org/10.1049/ic:19961155.

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Jaumard, Brigitte, Hamed Pouya, Rami Fahim, and Andres Barrios. "Planning network migration." In ICC 2016 - 2016 IEEE International Conference on Communications. IEEE, 2016. http://dx.doi.org/10.1109/icc.2016.7511244.

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Marianovskyi, Vilatii, Daryna Feshchenko, and Maksym Lytovka. "Wireless Network Planning." In 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT). IEEE, 2022. http://dx.doi.org/10.1109/atit58178.2022.10024183.

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Pacharintanakul, Peera, and David Tipper. "Differentiated crosslayer network mapping in multilayered network architectures." In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2010. http://dx.doi.org/10.1109/netwks.2010.5624908.

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Doherty, Deirdre H., Thomas B. Morawski, Raymond A. Sackett, Benjamin Y. C. Tang, Carlos Urrutia-Valdes, and Z. John Zhao. "Next generation networks multiservice network design." In 2008 13th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2008. http://dx.doi.org/10.1109/netwks.2008.6231315.

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Zhao, Rong, Liwei Zhou, and Carmen Mas Machuca. "Dynamic migration planning towards FTTH." In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2010. http://dx.doi.org/10.1109/netwks.2010.5624904.

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Schupke, Dominic A., and Clara Kronberger. "Multiperiod planning for optical networks." In 2010 14th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2010. http://dx.doi.org/10.1109/netwks.2010.5624957.

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Jarry-Lacombe, Bernard. "Network global strategy." In 2008 13th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2008. http://dx.doi.org/10.1109/netwks.2008.6231382.

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Reports on the topic "Network planning"

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Shannon, Anahma. Bering Strait Energy Planning Network. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1885467.

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Shivashankar, Vikas, Ugur Kuter, and Dana S. Nau. Hierarchical Goal Network Planning: Initial Results. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada560015.

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Peterson, B. E. Description of the National Highway Planning Network. Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/10138180.

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Robinson, David J. Characterization and Planning for Computer Network Operations. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada577860.

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Malik, Sharad. Augmenting SAT Solvers for Network Configuration/Planning. Fort Belvoir, VA: Defense Technical Information Center, November 2006. http://dx.doi.org/10.21236/ada459907.

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Peterson, B. E. Description of the National Highway Planning Network. Office of Scientific and Technical Information (OSTI), September 1990. http://dx.doi.org/10.2172/5441186.

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Brandstätt, Christine, Manuel Llorca, Alexandra Lüth, Jens Weibezahn, and Tooraj Jamasb. Conclusions on Integrated Network Planning in Europe: The STEERS Project. Copenhagen School of Energy Infrastructure, 2023. http://dx.doi.org/10.22439/csei.pb.017.

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Abstract:

Network planning is central to a future-proof energy system that is viable within the framework of the European Green Deal and suitable for energy systems integration. The new TEN-E regulation underlines this for European energy networks. The STEERS project aimed at aiding the implementation of its goals, i.e., system integration, the energy efficiency first principle, as well as the improvement of transparency and openness in the planning of energy networks in the European Union, and specifically in the TYNDP process. In this policy brief, we sum up the main conclusions.

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Pearl, Judea. Dynamic Network Techniques for Autonomous Planning and Control. Fort Belvoir, VA: Defense Technical Information Center, November 2000. http://dx.doi.org/10.21236/ada387551.

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Munoz-Avila, Hector. Transfer Learning and Hierarchical Task Network Representations and Planning. Fort Belvoir, VA: Defense Technical Information Center, February 2008. http://dx.doi.org/10.21236/ada500020.

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Sanders, William R., and Christopher V. Fultz. Collaborative Planning in Network-Enabled Co-Located and Distributed Environments. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada479789.

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