Relevant bibliographies by topics / Energy network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Energy network'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Energy network"

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Tian, Jinhua, Yueyuan Zhang, Yanan Gao, et al. "Distributed optimization and scheduling strategy for source load storage distribution grid based on alliance chain." AIMS Energy 12, no. 5 (2024): 946–67. http://dx.doi.org/10.3934/energy.2024044.

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<p>With the high penetration of renewable energy, the addition of a large number of energy storage units, and flexible loads, the source-load-storage structure of active distribution networks is becoming increasingly complex, making optimization and scheduling more challenging. In response to issues as difficult global information acquisition, less consideration of flexible load and energy storage unit access, individual deception, and insufficient security in the optimization scheduling process of active distribution networks, this paper constructed a distribution network optimization s
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Hategekimana, Pascal, Adrià Junyent-Ferré, Etienne Ntagwirumugara, and Joan Marc Rodriguez Bernuz. "Improved methods for controlling interconnected DC microgrids in rural villages." AIMS Energy 12, no. 1 (2024): 214–34. http://dx.doi.org/10.3934/energy.2024010.

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<abstract> <p>Interconnected Microgrid (IMG) networks have been suggested as the best to build electrical networks in remote villages far from the main electricity grid by interconnecting the nearby distributed energy resources (DERs) through power electronic converters. Interconnecting different DERs results in voltage deviation with unequal power-sharing, while voltage performance is a significant challenge. The control strategies for these converters are essential in the operational stability of any IMG network under study. In this paper, we propose an improved droop control met
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Chib, Manvi, and Tamanna Pathania. "The Review of Energy Efficient Network." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 1006–8. http://dx.doi.org/10.31142/ijtsrd24036.

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Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman, and 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 (2021): 910–20. https://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
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Abasaheb, Jundale Poonam, and Patil Yogita Dattatraya. "Energy Efficient Compression for Wireless Sensor Network." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (2018): 1820–24. http://dx.doi.org/10.31142/ijtsrd18171.

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Saleh, Mohammed Mehdi, Ruslan Saad Abdulrahman, and 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 (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 ene
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Teh, Jiashen, Ching-Ming Lai, and 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, and 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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Ibrahim, Marwa M., Amr A. Elfeky, and Amal El Berry. "Forecasting energy production of a PV system connected by using NARX neural network model." AIMS Energy 12, no. 5 (2024): 968–83. http://dx.doi.org/10.3934/energy.2024045.

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<p>Applying artificial neural network techniques to forecast the electricity production of photovoltaic (PV) power plants is a novel concept. A reliable analytical model for calculating the energy output of a grid-connected solar plant is very difficult to establish because of hourly, daily, and seasonal variations in climate. The current study estimated and predicted the energy production of a connected PV system that was installed in Cairo, Egypt (30.13° N and 31.40 ° E) using an artificial neural network. Four seasons' worth of data (summer, autumn, winter, and spring) were methodical
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Hu, Zijian, Hong Zhu, and Chen Deng. "Distribution network reconfiguration optimization method based on undirected-graph isolation group detection and the whale optimization algorithm." AIMS Energy 12, no. 2 (2024): 484–504. http://dx.doi.org/10.3934/energy.2024023.

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<abstract> <p>As distributed generation (DG) becomes increasingly integrated into the distribution grid, the structure of the distribution network is becoming more complex. To enhance the safety and cost-effectiveness of distribution systems, distribution network reconfiguration is gaining significant importance. Achieving optimal distribution network reconfiguration entails two key considerations: A feasible topology and economic efficiency. This paper addresses these challenges by introducing a novel approach that combines the potential island detection in undirected-graphs and t
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Dissertations / Theses on the topic "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.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 97-104).<br>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
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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<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>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<br>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 d
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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
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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
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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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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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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
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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
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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 larg
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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
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Books on the topic "Energy network"

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Ge, Xianlong. Urban Transportation Energy Supply Network. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64619-5.

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

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Mishra, Vishram, Jimson Mathew, and Chiew-Tong Lau. QoS and Energy Management in Cognitive Radio Network. 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. Swedish Agency for Research Cooperation with Developing Countries, 1994.

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

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

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

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

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

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Christofides, Panagiotis D. Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications. Springer-Verlag London Limited, 2011.

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Book chapters on the topic "Energy network"

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Bouhouras, Aggelos S., Paschalis A. Gkaidatzis, and Dimitris P. Labridis. "Network Reconfiguration in Modern Power Distribution Networks." In Energy Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_7.

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Sridhar, Narasi. "Nuclear Energy." In Bayesian Network Modeling of Corrosion. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-56128-3_7.

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Lovell, Heather. "Networks." In Understanding Energy Innovation. 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 fr
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Jost, Sebastian, Mirko Schäfer, and Martin Greiner. "Network Perspective of Wind-Power Production." In Wind Energy. 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, and Javier Contreras. "Electric Distribution Network Planning Under Uncertainty." In Energy Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36115-0_10.

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Kulcsár, Balázs. "Settlement Network Supplying Energy." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54096-7_1.

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Kathiriya, Hiren, Arjav Bavarva, and Vishal Sorathiya. "Low-energy Network Protocols." In Recent Trends and Best Practices in Industry 4.0. River Publishers, 2023. http://dx.doi.org/10.1201/9781003441717-11.

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Richards, Bryn, and Nwabueze Emekwuru. "Using Machine Learning to Predict Synthetic Fuel Spray Penetration from Limited Experimental Data Without Computational Fluid Dynamics." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_6.

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AbstractMachine Learning (ML) is increasingly used to predict fuel spray characteristics, but ML conventionally requires large datasets for training. There is a problem of limited training data in the field of synthetic fuel sprays. One solution is to reproduce experimental results using Computational Fluid Dynamics (CFD) and then to augment or replace experimental data with more abundant CFD output data. However, this approach can obscure the relationship of the neural network to the training data by introducing new factors, such as CFD grid design, turbulence model, near-wall treatment, and
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Alguacil, Natalia, José M. Arroyo, and Miguel Carrión. "Transmission Network Expansion Planning Under Deliberate Outages." In Energy Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02493-1_16.

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Nwulu, Nnamdi, and Saheed Lekan Gbadamosi. "Transmission Network Expansion Planning." In Green Energy and Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-00395-1_9.

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Conference papers on the topic "Energy network"

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Al-Habob, Ahmed A., Octavia A. Dobre, and Yindi Jing. "Energy-Efficient Network Slicing for UAV-enabled Networks." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811335.

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Chen, Jinmao, Wanli Xu, Yujuan Yin, Man Ruan, Mengyi Wang, and Xudong Wang. "Analysis of the Integration and Development of Energy Network, Transportation Network, and Information Network." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10991585.

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Sithole, Lindokuhle, and Oliver Dzobo. "Energy Trading in a Decentralized Blockchain Based Energy Network." In 2024 International Conference on Sustainable Technology and Engineering (i-COSTE). IEEE, 2024. https://doi.org/10.1109/i-coste63786.2024.11025016.

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Drouineau, Mathilde, Vincent Mazauric, Edi Assoumou, and Nadia Maizi. "Network reliability assessment towards long term planning." In 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, and Jaafar M. H. Elmirghani. "Energy efficient core networks using network coding." In 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, and Liuqing Yang. "Network Beamforming in Energy-Harvesting Relay Networks." In 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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Bolla, Raffaele, Roberto Bruschi, Pasquale Donadio, and Giorgio Parladori. "Energy efficiency in optical networks." In 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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Ochoa, L., C. Dent, and G. Harrison. "Distribution network capacity assessment: Variable DG and active networks." In 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, and A. Kumar. "Dynamic network pricing based on smart reference networks." In 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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Layton, Astrid, John Reap, and Bert Bras. "A Correlation Between Thermal Efficiency and Biological Network Cyclicity." In 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. Mu
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Reports on the topic "Energy network"

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

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Dart, Eli, and Brian Tierney. Fusion Energy Sciences Network Requirements. Office of Scientific and Technical Information (OSTI), 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), 2022. http://dx.doi.org/10.2172/1885467.

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

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

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

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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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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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Kranefeld, Robert. Beyond the grid : post-network energy provision in Rwanda. Goethe-Universität, Institut für Humangeographie, 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 soc
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Holdridge, Robert E. Neural Network Analysis of LEAP Energy Spectra. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/801808.

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Zurawski, Jason, Benjamin Brown, Eli Dart, et al. 2021 Fusion Energy Sciences Network Requirements Review. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1869287.

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