Littérature scientifique sur le sujet « Energy network »

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Articles de revues sur le sujet "Energy network"

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Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman et Aymen Jaber Salman. « Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs ». Indonesian Journal of Electrical Engineering and Computer Science 24, no 2 (1 novembre 2021) : 910. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp910-920.

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Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the energy levels of the node battery by utilizing various energy harvesting techniques in order to extend the network lifetime. In this paper, a new energy-aware clustering algorithm (EHEARA) has been proposed. The proposed algorithm is based on a dynamic clustering function and adopts a solar energy harvesting scheme in order to improve network lifetime. Furthermore, the active-sleep mechanism was used to distribute node activity and balance communication among nodes within clusters and cluster heads with the base station. The proposed algorithm is simulated using matrix laboratory (MATLAB), and the results show that it outperforms the low energy adaptive clustering hierarchy (LEACH), distributed energy efficient clustering (DEEC), and stable election protocol (SEP) algorithms in terms of network lifetime, energy consumption, and network throughput.
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Chib, Manvi, et Tamanna Pathania. « The Review of Energy Efficient Network ». International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (30 juin 2019) : 1006–8. http://dx.doi.org/10.31142/ijtsrd24036.

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Abasaheb, Jundale Poonam, et Patil Yogita Dattatraya. « Energy Efficient Compression for Wireless Sensor Network ». International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (31 août 2018) : 1820–24. http://dx.doi.org/10.31142/ijtsrd18171.

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Teh, Jiashen, Ching-Ming Lai et Yu-Huei Cheng. « Composite reliability evaluation for transmission network planning ». AIMS Energy 6, no 1 (2018) : 170–86. http://dx.doi.org/10.3934/energy.2018.1.170.

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Conti, Stefania, Santi A. Rizzo, Nunzio Salerno et Giuseppe M. Tina. « Distribution network topology identification based on synchrophasor ». AIMS Energy 6, no 2 (2018) : 245–60. http://dx.doi.org/10.3934/energy.2018.2.245.

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Vasudev, Arpitha, A. M. Sowmya et G. Manjula. « Applying Intermittent Energy Distribution for Evading Energy Holes in Wireless Sensor Network ». Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31 octobre 2016) : 217–19. http://dx.doi.org/10.9756/bijsesc.8281.

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Ma, De Xin, Jian Ma, Peng Min Xu, Cai Xia Song et Ying Pang. « Solar-Powered Wireless Sensor Network’s Energy Gathering Technology ». Applied Mechanics and Materials 477-478 (décembre 2013) : 396–99. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.396.

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We analyze the solar-powered wireless sensor network's energy gathering techniques, aiming to prolong the lifetime of wireless sensor network. We summarize wireless sensor network node's energy autonomy system, its characteristics in detail and new technology adopts, provides some suggestions and new ideas in the design and research of solar-powered wireless sensor networks.
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Lam, Albert Y. S., Ka-Cheong Leung et Victor O. K. Li. « Vehicular Energy Network ». IEEE Transactions on Transportation Electrification 3, no 2 (juin 2017) : 392–404. http://dx.doi.org/10.1109/tte.2017.2649887.

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Gelenbe, Erol, et Omer H. Abdelrahman. « An Energy Packet Network model for mobile networks with energy harvesting ». Nonlinear Theory and Its Applications, IEICE 9, no 3 (2018) : 322–36. http://dx.doi.org/10.1587/nolta.9.322.

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Elgibaly, Ahmed A., Mohamed Ghareeb, Said Kamel et Mohamed El-Sayed El-Bassiouny. « Prediction of gas-lift performance using neural network analysis ». AIMS Energy 9, no 2 (2021) : 355–78. http://dx.doi.org/10.3934/energy.2021019.

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Thèses sur le sujet "Energy network"

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Shi, Xiaomeng Ph D. Massachusetts Institute of Technology. « Energy aware network coding in wireless networks ». Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78533.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 97-104).
Energy is one of the most important considerations in designing reliable low-power wireless communication networks. We focus on the problem of energy aware network coding. In particular, we investigate practical energy efficient network code design for wireless body area networks (WBAN). We first consider converge-cast in a star-shaped topology, in which a central base station (BS), or hub, manages and communicates directly with a set of nodes. We then consider a wireless-relay channel, in which a relay node assists in the transmission of data from a source to a destination. This wireless relay channel can be seen as a simplified extended star network, where nodes have relay capabilities. The objective is to investigate the use of network coding in these scenarios, with the goal of achieving reliability under low-energy and lower-power constraints. More specifically, in a star network, we propose a simple network layer protocol, study the mean energy to complete uploads of given packets from the nodes to the BS using a Markov chain model, and show through numerical examples that when reception energy is taken into account, the incorporation of network coding offers reductions in energy use. The amount of achievable gains depends on the number of nodes in the network, the degree of asymmetry in channel conditions experienced by different nodes, and the relative difference between transmitting and receiving power at the nodes. We also demonstrate the compatibility of the proposed scheme with the IEEE 802.15.6 WBAN standard by describing ways of incorporating network coding into systems compliant to the standard. For a wireless relay channel, we explore the strategic use of network coding according to both throughput and energy metrics. In the relay channel, a single source communicates to a single sink through the aid of a half-duplex relay. The fluid flow model is used to describe the case where both the source and the relay are coding, and Markov chain models are proposed to describe packet evolution if only the source or only the relay is coding. Although we do not attempt to explicitly categorize the optimal network coding strategies in the relay channel under different system parameters, we provide a framework for deciding whether and where to code, taking into account of throughput maximization and energy depletion constraints.
by Xiaomeng Shi.
Ph.D.
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Rodriguez, Brljevich Esteban 1984. « Energy-aware virtual network mapping ». [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275512.

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Orientador: Nelson Luis Saldanha da Fonseca
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-25T09:43:36Z (GMT). No. of bitstreams: 1 RodriguezBrljevich_Esteban_M.pdf: 2281259 bytes, checksum: 12557ac80a34c2bff2547f1f2aff1eaa (MD5) Previous issue date: 2013
Resumo: A virtualização de redes é uma tecnologia promissora para a Internet do futuro, já que facilita a implementação de novos protocolos e aplicações sem a necessidade de alterar o núcleo da rede. Um passo chave para instanciar redes virtuais é a alocação de recursos físicos para elementos virtuais (roteadores e enlaces). A fim de contribuir para o esforço global de poupança de energia, a escolha de recursos físicos para instanciar uma rede virtual deveria minimizar o consumo de energia rede. No entanto, esta não é uma tarefa trivial, já que requerimentos de QoS devem ser atingidos. A busca da solução ótima deste problema é NP-difícil. O mapeamento de redes virtuais em substratos de rede físicos em cenários de alocaç?o e desalocaç?o de redes virtuais pode não levar a um consumo mínimo de energia devido à dinâmica das atribuições dos elementos virtuais previamente alocados. Tal dinâmica pode levar à subutilização da rede substrato. Para reduzir os efeitos negativos desta dinâmica, técnicas tais como a migração de redes virtuais em tempo real podem ser empregadas para rearranjar as redes virtuais previamente mapeadas para poupar energia. Esta dissertação apresenta um conjunto de novos algoritmos para o mapeamento de redes virtuais em substratos de rede com o objetivo de reduzir o consumo de energia. Além disso, dois novos algoritmos são propostos para a migração dos roteadores e enlaces virtuais para reduzir o número de roteadores e amplificadores ópticos requeridos. Os resultados obtidos por simulação mostram a eficácia dos algoritmos propostos
Abstract: Network virtualization is a promising technology for the Internet of the Future since it facilitates the deployment of new protocols and applications without the need of changing the core of the network. A key step to instantiate virtual networks is the allocation of physical resources to virtual elements (routers and links). In order to contribute to the global effort of saving energy, choice of physical resources to instantiate a virtual network needs to minimize the network energy consumption. However, this is not a trivial task, since the QoS of the application requirements has to be supported. Indeed, the search for the optimal solution of this problem is NP-hard. The mapping of virtual networks on network substrates at the arrival time of requests to the establishment of virtual networks may not lead to a global minimum energy consumption of energy due to the dynamic allocations and deallocations of virtual networks. Actually, such dynamics can lead to the underutilization of the network substrate. To mitigate the negative effect of this dynamics, techniques such as live migration can be employed to rearrange already mapped virtual networks to achieve energy savings. This dissertation presents a set of new algorithms for the mapping of virtual networks on network substrates aiming to reduce energy consumption. Additionally, two new algorithms are proposed for the migration of virtual routers and links to reduce the number of powered routers and optical amplifiers. Results derived by simulation show the efficacy of the proposed algorithms
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
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Yarlagadda, Jyothsna. « Energy-efficient even-parity network coding for adhoc networks ». Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5982.

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The major difference between wired and wireless networks is their broadcast nature, specifically how transmitted data by one node may reach other nodes and vice-versa. This broadcast nature is a curse for wired networks but a blessing for wireless networks. Network coding is a technique where instead of just forwarding packets arrived at relay nodes, the node will collect several packets and then combine them together using an algebraic algorithm for transmissions. Network coding reduces the energy consumption by decreasing the number of transmissions required to communicate a given amount of information across the network. The aim of this thesis is to enhance network-coding strategy in order to improve energy gain, which in turn increases throughput in ad hoc networks. To that end, this thesis also proposes an even parity scheme that reduces processing time and power of nodes by improving coding opportunities. In addition, an even parity scheme allows for the coding of large numbers of packets at a time instead of coding just two packets using normal XOR operation.
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
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Musa, Mohamed Osman Ibrahim. « Energy efficient IP over WDM networks using network coding ». Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/16644/.

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In this thesis we propose the use of network coding to improve the energy efficiency in core networks, by reducing the resources required to process traffic flows at intermediate nodes. We study the energy efficiency of the proposed scheme through three approaches: (i) developing a mixed integer linear programme (MILP) to optimise the use of network resources. (ii) developing a heuristic based on minimum hop routing. (iii) deriving an analytical bounds and closed form expressions. The results of the MILP model show that implementing network coding over typical networks can introduce savings up to 33% compared to the conventional architectures. The results of the heuristic show that the energy efficient minimum hop routing in network coding enabled networks achieves power savings approaching those of the MILP model. The analytically calculated power savings also confirm the savings achieved by the model. Furthermore, we study the impact of network topology on the savings obtained by implementing network coding. The results show that the savings increase as the hop count of the network topology increases. Using the derived expressions, we calculated the maximum power savings for regular topologies as the number of nodes grows. The power savings asymptotically approach 45% and 23% for the ring (and line) and star topology, respectively. We also investigate the use of network coding in 1+1 survivable IP over WDM networks. We study the energy efficiency of this scheme through MILP, a heuristic with five operating options, and analytical bounds. We evaluate the MILP and the heuristics on typical and regular network topologies. Implementing network coding can produce savings up to 37% on the ring topology and 23% considering typical topologies. We also study the impact of varying the demand volumes on the network coding performance. We also develop analytical bounds for the conventional 1+1 protection and the 1+1 with network coding to verify the results of the MILP and the heuristics and study the impact of topology, focusing on the full mesh and ring topologies, providing a detailed analysis considering the impact of the network size.
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Zhou, Yuanyuan. « Energy-efficient protocols and topologies for sensor and personal-area networks ». Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Summer2007/y_zhou_072307.pdf.

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Brownfield, Michael I. « Energy-efficient Wireless Sensor Network MAC Protocol ». Diss., This resource online, 2006. http://scholar.lib.vt.edu/theses/available/etd-04102006-170423/.

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Vedantham, Ramanuja. « Energy-Efficient Network Protocols for Wireless Sensor and Actor Networks ». Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13959.

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Wireless sensor networks (WSNs) have a wide variety of applications in civilian, medical and military applications. However, the nodes in such a network are limited to one type of action: sensing the environment. With increasing requirements for intelligent interaction with the environment, there is a need to not only perceive but also control the monitored environment. This has led to the emergence of a new class of networks, referred to as wireless sensor and actor networks (WSANs), capable of performing both sensing and acting tasks on the environment. The evolution from WSNs, which can be thought of as performing only read operations, to WSANs, which can perform both read and write operations, introduces unique and new challenges that need to be addressed. In this research, the fundamental challenges required for effective operation of WSANs are analyzed from the following three different perspectives: (i) operation correctness, (ii) resource optimality, and (iii) operation performance. The solutions proposed to address the challenges are evaluated with the optimal solution and other competing approaches through analytical and simulation results. The feasibility of the proposed solutions is demonstrated through a testbed implementation.
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Henna, Shagufta. « Broadcasting, coverage, energy efficiency and network capacity in wireless networks ». Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/27808.

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Broadcasting, coverage, duty cycling, and capacity improvement are some of the important areas of interest in Wireless Networks. We address different problems related with broadcasting, duty cycling, and capacity improvement by sensing different network conditions and dynamically adapting to them. We propose two cross layer broadcasting protocols called CASBA and CMAB which dynamically adapt to network conditions of congestion and mobility. We also propose a broadcasting protocol called DASBA which dynamically adapts to local node density. CASBA, CMAB, and DASBA improve the reachability while minimizing the broadcast cost. Duty cycling is an efficient mechanism to conserve energy in Wireless Sensor Networks (WSNs). Existing duty cycling techniques are unable to handle the contention under dynamic traffic loads. Our proposed protocol called SA-RI-MAC handles traffic contention much more efficiently than RI-MAC without sacrificing the energy efficiency. It improves the delivery ratio with a significant reduction in the latency and energy consumption. Due to limited battery life and fault tolerance issues posed by WSNs, efficient methods which ensure reliable coverage are highly desirable. One solution is to use disjoint set covers to cover the targets. We formulate a problem called MDC which addresses the maximum coverage by using disjoint set covers S1 and S2. We prove that MDC is NP-complete and propose a √n-approximation algorithm for the MDC problem to cover n targets. The use of multi-channel MAC protocols improves the capacity of wireless networks. Efficient multi-channel MAC protocols aim to utilize multiple channels effectively. Our proposed multi-channel MAC protocol called LCV-MMAC effectively utilizes the multiple channels by handling the control channel saturation. LCV-MMAC demonstrates significantly better throughput and fairness compared to DCA, MMAC, and AMCP in different network scenarios.
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Zengin, Asli. « Energy-efficient Routing To Maximize Network Lifetime In Wireless Sensor Networks ». Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608626/index.pdf.

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With various new alternatives of low-cost sensor devices, there is a strong demand for large scale wireless sensor networks (WSN). Energy efficiency in routing is crucial for achieving the desired levels of longevity in these networks. Existing routing algorithms that do not combine information on transmission energies on links, residual energies at nodes, and the identity of data itself, cannot reach network capacity. A proof-of-concept routing algorithm that combines data aggregation with the minimum-weight path routing is studied in this thesis work. This new algorithm can achieve much larger network lifetime when there is redundancy in messages to be carried by the network, a practical reality in sensor network applications.
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Hinrichsen, Oscar. « An Evaluation of Network Protocols for Bluetooth Low Energy Mesh Networks ». Thesis, Linköpings universitet, Kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122551.

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Internet of Things (IoT) is a scenario that theorizes objects and people as potential nodes in an ever-growing wireless network. This idea pushes the development of low-cost wireless technologies that can run on portable power sources for months, or even years. One candidate technique that has shown promising results in this area thru the last years is BluetoothLow Energy (BLE). This thesis studies various techniques to enable and maintain large scale mesh networks over BLE communication. The initial study puts focus on an existing flooding based BLE mesh protocol. The thesis later presents an improved protocol that reduces power consumption with respect to the packet delivery ratio. Other enhancements which are added to the improved protocol are a self-adapting procedure and a packet routing algorithm. Simulations show that the improved protocol can save up to 50 % of the power consumption for a device, compared to the original protocol.
Sakernas Internet (IoT) är ett scenario som skisserar objekt och människor som potentiella noder i ett ständigt växande trådlöst nätverk. Denna vision driver utvecklingen av trådlösa lågkostnadsteknologier som kan köras på portabla strömkällor i flera månader. En kandiderande teknik som har visat goda resultat inom detta område är Bluetooth Low Energy (BLE). Detta uppsatsarbete studerar flera tekniker för att möjliggöra och upprätthålla storskaliga meshnätverk över BLE-kommunikation. Den inledande studien granskar ett existerande översvämningsbaserat meshprotokoll för BLE. Uppsatsarbetet presenterar därefter ett förbättrat protokoll som reducerar strömförbrukningen med avseende på kvoten mellan antalet mottagna paket genom antalet skickade paket. Ytterliggare upprustningar som tillkommer i det förbättrade protokollet är en procedur för självanpassning, samt en algorithm för dirigering av paket. Simuleringar visar att det förbättrade protokollet kan spara upp till 50 % av strömkonsumptionen för en enhet, jämfört med originalprotokollet.
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Livres sur le sujet "Energy network"

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Designing green networks and network operations. Boca Raton : Auerbach Pub., 2010.

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Daneshvar, Mohammadreza, Somayeh Asadi et Behnam Mohammadi-Ivatloo. Grid Modernization ─ Future Energy Network Infrastructure. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64099-6.

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Mishra, Vishram, Jimson Mathew et Chiew-Tong Lau. QoS and Energy Management in Cognitive Radio Network. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45860-1.

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Christensen, J. M. AFREPREN : The African Energy Policy Research Network : an evaluation. Stockholm : Swedish Agency for Research Cooperation with Developing Countries, 1994.

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Waudo, Albert. Directory for the East African Energy Technology Development Network. Nairobi] : East African Energy Technology Development Network, 2003.

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Houweling, Feico. Energy on-line : A guide to Internet resources. London : FinancialTimes Energy, 1996.

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Enerugī seisaku no inobēshon : Genpatsu no owari korekara no shakai : Network globally, Innovate locally. Kyōto-shi : Gakugei Shuppansha, 2011.

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Minoli, Daniel. Designing green networks and network operations : Saving run-the-engine costs. Boca Raton : Auerbach Pub., 2010.

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Schumann, Roland W. Energy guide to the Internet. Washington, DC : Utility Data Institute, 1995.

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Lumbreras, Sara, Hamdi Abdi et Andrés Ramos, dir. Transmission Expansion Planning : The Network Challenges of the Energy Transition. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49428-5.

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Chapitres de livres sur le sujet "Energy network"

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Bouhouras, Aggelos S., Paschalis A. Gkaidatzis et Dimitris P. Labridis. « Network Reconfiguration in Modern Power Distribution Networks ». Dans Energy Systems, 219–55. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_7.

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Jost, Sebastian, Mirko Schäfer et Martin Greiner. « Network Perspective of Wind-Power Production ». Dans Wind Energy, 147–52. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_26.

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López, Julio, Marcos J. Rider et Javier Contreras. « Electric Distribution Network Planning Under Uncertainty ». Dans Energy Systems, 293–323. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_10.

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Sedghi, Mahdi, Ali Ahmadian, Ali Elkamel, Masoud Aliakbar Golkar et Michael Fowler. « Battery Energy Storage Planning ». Dans Electric Distribution Network Planning, 185–214. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_7.

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Alguacil, Natalia, José M. Arroyo et Miguel Carrión. « Transmission Network Expansion Planning Under Deliberate Outages ». Dans Energy Systems, 365–89. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02493-1_16.

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Nwulu, Nnamdi, et Saheed Lekan Gbadamosi. « Transmission Network Expansion Planning ». Dans Green Energy and Technology, 185–212. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-00395-1_9.

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Lovell, Heather. « Networks ». Dans Understanding Energy Innovation, 17–36. Singapore : Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6253-9_2.

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AbstractSocial scientists study many different types of networks, from policy networks to sociotechnical networks, in order to better understand processes of change. These diverse networks have a number of characteristics in common, including interconnectedness, flows, and fragility. Exploring these characteristics in relation to smart grids helps us to better understand the social nature of energy sector innovation. In this chapter, I use these themes and concepts to assess three examples: international smart grid policy networks; a local community network on Bruny Island, Australia; and a fragile network, the digital metering programme in the State of Victoria, Australia.
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Bonzanni, Andrea. « The Economics of Energy Networks ». Dans The Palgrave Handbook of International Energy Economics, 213–33. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_13.

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AbstractAndrea Bonzanni provides an overview of the economics of transporting electricity and gas through networks, critically discussing the numerous similarities and the crucial differences between the two energy carriers. The chapter describes the physical and economic properties of energy networks, focusing on their monopolistic nature and the implications for electricity and gas systems. It goes onto review how energy networks are treated in competitive energy markets, how access to networks functions and what arrangements are established to ensure efficient economic outcomes and equal treatment of all market participants. Finally, it explains how access to energy networks is charged and how network users exchange energy within a network.
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Wolak, Frank A., et Ian H. Hardman. « Technologies Providing Distribution Network Services ». Dans Lecture Notes in Energy, 89–99. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85005-0_6.

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Kazmi, S. M. Ahsan, Latif U. Khan, Nguyen H. Tran et Choong Seon Hong. « Network Slicing : Dynamic Isolation Provisioning and Energy Efficiency ». Dans Network Slicing for 5G and Beyond Networks, 109–39. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16170-5_7.

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Actes de conférences sur le sujet "Energy network"

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Drouineau, Mathilde, Vincent Mazauric, Edi Assoumou et Nadia Maizi. « Network reliability assessment towards long term planning ». Dans 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781024.

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Musa, Mohamed O. I., Taisir E. H. El-Gorashi et Jaafar M. H. Elmirghani. « Energy efficient core networks using network coding ». Dans 2015 17th International Conference on Transparent Optical Networks (ICTON). IEEE, 2015. http://dx.doi.org/10.1109/icton.2015.7193630.

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Wang, Dexin, Rongqing Zhang, Xiang Cheng et Liuqing Yang. « Network Beamforming in Energy-Harvesting Relay Networks ». Dans 2019 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2019. http://dx.doi.org/10.1109/iccchina.2019.8855802.

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Layton, Astrid, John Reap et Bert Bras. « A Correlation Between Thermal Efficiency and Biological Network Cyclicity ». Dans ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54787.

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This article investigates a correlation between the thermal efficiency of ideal power cycles and a structural measure of the degree of interactions in networks known as cyclicity. Efficient design of networks that reuse materials and energy motivates the work. Corporate “take-back” plans, multi-company industrial symbioses and public recycling programs recover products, components and materials using partially closed loop networks. As resources become scarcer and more expensive, the prevalence of these networks is likely to increase, and the importance of designing efficient networks grows. Multiple structural and material flow metrics that one might use to aid network design exist. One novel approach to network design involves patterning industrial networks on ecological ones. This latter idea lays at the heart of industrial symbiosis efforts. However, neither the materials metric approach nor the bioinspired ecological patterns approach stands upon a strong theoretical base. As a test of both approaches, this work uses a structural cycling metric, cyclicity, previously used to quantify patterns in ecosystems, to quantify energy flow in ideal thermodynamic cycles. The objective is not to learn about thermodynamic cycles. Rather, the intent of the comparison is to reveal whether trends in network structure as given by cyclicity relate to the fundamental laws of thermodynamics. Familiar ideal power cycles are first redrawn as energy flow networks. Cyclicity values are then calculated for these networks. A comparison shows that thermal efficiency increases with increasing cyclicity for fixed source and sink temperatures within a cycle. This results from the practice of adding cyclical energy paths (i.e. a regenerator) to an ideal power cycle, to increase thermal efficiency. The remainder of the article comments on the potential ramifications of this finding for the design of cycling industrial networks.
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Ochoa, L., C. Dent et G. Harrison. « Distribution network capacity assessment : Variable DG and active networks ». Dans Energy Society General Meeting. IEEE, 2010. http://dx.doi.org/10.1109/pes.2010.5589284.

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Padhy, N. P., R. Bhakar, M. Nagendran et A. Kumar. « Dynamic network pricing based on smart reference networks ». Dans 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges. IEEE, 2012. http://dx.doi.org/10.1109/pesgm.2012.6345374.

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Bolla, Raffaele, Roberto Bruschi, Pasquale Donadio et Giorgio Parladori. « Energy efficiency in optical networks ». Dans 2012 XVth International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2012. http://dx.doi.org/10.1109/netwks.2012.6381661.

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Tang, Haiguo, Jiran Zhu, Chun Chen, Zhidan Zhang et Di Zhang. « Distribution Network Reconfiguration Based on Back Propagation neural networks ». Dans 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9062258.

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Lai, Baixi, Ping Yi, Yu Sui et Qingquan Zhang. « Energy Distribution in EV Energy Network under Energy Shortage ». Dans 2019 IEEE 21st International Conference on High Performance Computing and Communications ; IEEE 17th International Conference on Smart City ; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2019.00363.

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Chen, Biyun, Qiaoling Dai et Zhiwei Cui. « Risk assessment of distribution network considering network attack ». Dans 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2017. http://dx.doi.org/10.1109/ei2.2017.8245650.

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Rapports d'organisations sur le sujet "Energy network"

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Sivalingam, Krishna M. Energy Efficient Network Protocols for Wireless and Mobile Networks. Fort Belvoir, VA : Defense Technical Information Center, novembre 2001. http://dx.doi.org/10.21236/ada400626.

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Dart, Eli, et Brian Tierney. Fusion Energy Sciences Network Requirements. Office of Scientific and Technical Information (OSTI), septembre 2012. http://dx.doi.org/10.2172/1173171.

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

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Armstrong, Whitney, John Arrington, Ed Balas, Debbie Bard, Steve Beher, Laura Biven, Vincent Bonafede et al. Energy Sciences Network (ESnet) : Nuclear Physics Network Requirements Review Report. Office of Scientific and Technical Information (OSTI), mai 2019. http://dx.doi.org/10.2172/1631129.

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Andersen, Glen, et Megan Cleveland. State Solar Energy Training and Network. Office of Scientific and Technical Information (OSTI), janvier 2019. http://dx.doi.org/10.2172/1490198.

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Anderson, A. V., et D. P. Henderson. Energy Efficiency and Renewable Energy Network (EREN) : Customer satisfaction survey. Office of Scientific and Technical Information (OSTI), avril 1996. http://dx.doi.org/10.2172/224279.

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Kranefeld, Robert. Beyond the grid : post-network energy provision in Rwanda. Goethe-Universität, Institut für Humangeographie, février 2020. http://dx.doi.org/10.21248/gups.53186.

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In many parts of the world, the centralized grid provides energy to the population only to a limited extent. The electrification for sub-Saharan Africa countries is the lowest in the world, representing half of the world's population withoutelectricity. However, during the last years there has been an increased attention to rural areas in the Global South beyond the centralised grid, especially with respect to improved possibilities of solar power systems. The transition from one dominant form of energy provision to various alternatives includes different dimensions and depends on specific socio-spatial contexts. Energy systems are framed within systems of spatial practices, performed by a variety of involved actors, like consumers, local suppliers, international for-profit companies, international development donors as well as national and regional authorities. As such power systems arealways cause and effect of socio-technical change This study takes the example of Rwanda to analyse the marketization of decentralised energy systems. Based on empirical field work with energy entrepreneurs it combines Post-Colonial Theory with Science and Technology-Studies to theorise the role of energy to the social production of space beyond the grid.
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Holdridge, Robert E. Neural Network Analysis of LEAP Energy Spectra. Office of Scientific and Technical Information (OSTI), septembre 2002. http://dx.doi.org/10.2172/801808.

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Zurawski, Jason, Benjamin Brown, Eli Dart, Carol Hawk, Saswata Hier-Majumder, Joshua King, John Mandrekas et al. 2021 Fusion Energy Sciences Network Requirements Review. Office of Scientific and Technical Information (OSTI), mai 2022. http://dx.doi.org/10.2172/1869287.

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Dart, Eli, Lothar Bauerdick, Greg Bell, Leandro Ciuffo, Sridhara Dasu, Vince Dattoria, Kaushik De et al. High Energy Physics and Nuclear Physics Network Requirements. Office of Scientific and Technical Information (OSTI), mars 2014. http://dx.doi.org/10.2172/1134243.

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