Relevant bibliographies by topics / Energy and resource consumption

Contents

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

Academic literature on the topic 'Energy and resource consumption'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Energy and resource consumption"

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Kerr, Don. "Energy, resource consumption, and climate change." Canadian Studies in Population 45, no. 1-2 (2018): 43. http://dx.doi.org/10.25336/csp29368.

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Population growth, at both the national and global level, will most certainly impact Canada’s climate, and, more broadly, its environment. While Canada’s population has been projected to continue to grow for many decades, what happens elsewhere in terms of population growth will be particularly important to Canada. Although greenhouse gas emissions (GHGs) in Canada have levelled off somewhat over the last decade and a half, global emissions have continued to climb. As a direct result, with increased GHGs in the atmosphere, Canada’s northern climate has already been impacted in a major way with
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Shrabanee, Swagatika, and Amiya Kumar Rath. "SDN-cloud: a power aware resource management system for efficient energy optimization." International Journal of Intelligent Unmanned Systems 8, no. 4 (2020): 321–43. http://dx.doi.org/10.1108/ijius-07-2019-0032.

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PurposeIn modern cloud services, resource provisioning and allocation are significant for assigning the available resources in efficient way. Resource management in cloud becomes challenging due to high energy consumption at data center (DC), virtual machine (VM) migration, high operational cost and overhead on DC.Design/methodology/approachIn this paper, the authors proposed software-defined networking (SDN)-enabled cloud for resource management to reduce energy consumption in DC. SDN-cloud comprises four phases: (1) user authentication, (2) service-level agreement (SLA) constraints, (3) clou
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Casazza, Marco, Jingyan Xue, Shupan Du, Gengyuan Liu, and Sergio Ulgiati. "Simulations of scenarios for urban household water and energy consumption." PLOS ONE 16, no. 4 (2021): e0249781. http://dx.doi.org/10.1371/journal.pone.0249781.

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The expansion of cities and their impacts currently constitutes a challenge for the achievement of sustainable development goals (SDGs). In this respect, assessments of resource consumption and the delivery of appropriate policies to support resource conservation are of paramount importance. Previous works in the literature have focused on one specific resource (e.g., water, energy, food) at the household level, while others have analysed the inter-relations among different resources (i.e., the nexus approach) at larger spatial scales (e.g., urban level). Moreover, household behavioural attitu
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Chen, I.-Chun, Kuang-Ly Cheng, Hwong-Wen Ma, and Cathy Chang-Wei Hung. "Identifying Spatial Driving Factors of Energy and Water Consumption in the Context of Urban Transformation." Sustainability 13, no. 19 (2021): 10503. http://dx.doi.org/10.3390/su131910503.

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Urban energy and water consumption varies substantially across spatial and temporal scales, which can be attributed to changes of socio-economic variables, especially for a city undergoing urban transformation. Understanding these variations in variables related to resource consumptions would be beneficial to regional resource utilization planning and policy implementation. A geographically weighted regression method with modified procedures was used to explore and visualize the relationships between socio-economic factors and spatial non-stationarity of urban resource consumption to enhance t
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Gnedoy, N., S. Dubovskoy, and M. Kulik. "Economic, energy and ecological aspects of energy resource consumption in Ukraine." International Journal of Global Energy Issues 19, no. 2/3 (2003): 182. http://dx.doi.org/10.1504/ijgei.2003.002390.

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Mao, Li, De Yu Qi, Wei Wei Lin, Bo Liu, and Ye Da Li. "An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization." International Journal of Grid and High Performance Computing 8, no. 2 (2016): 43–57. http://dx.doi.org/10.4018/ijghpc.2016040103.

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With the rapid growth of energy consumption in global data centers and IT systems, energy optimization has become an important issue to be solved in cloud data center. By introducing heterogeneous energy constraints of heterogeneous physical servers in cloud computing, an energy-efficient resource scheduling model for heterogeneous physical servers based on constraint satisfaction problems is presented. The method of model solving based on resource equivalence optimization is proposed, in which the resources in the same class are pruning treatment when allocating resource so as to reduce the s
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Dewangan, Bhupesh Kumar, Amit Agarwal, Venkatadri M., and Ashutosh Pasricha. "Energy-Aware Autonomic Resource Scheduling Framework for Cloud." International Journal of Mathematical, Engineering and Management Sciences 4, no. 1 (2019): 41–55. http://dx.doi.org/10.33889/ijmems.2019.4.1-004.

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Cloud computing is a platform where services are provided through the internet either free of cost or rent basis. Many cloud service providers (CSP) offer cloud services on the rental basis. Due to increasing demand for cloud services, the existing infrastructure needs to be scale. However, the scaling comes at the cost of heavy energy consumption due to the inclusion of a number of data centers, and servers. The extraneous power consumption affects the operating costs, which in turn, affects its users. In addition, CO2 emissions affect the environment as well. Moreover, inadequate allocation
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Alcarria, Ramon, Borja Bordel, Tomás Robles, Diego Martín, and Miguel-Ángel Manso-Callejo. "A Blockchain-Based Authorization System for Trustworthy Resource Monitoring and Trading in Smart Communities." Sensors 18, no. 10 (2018): 3561. http://dx.doi.org/10.3390/s18103561.

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Resource consumption in residential areas requires novel contributions in the field of consumer information management and collaborative mechanisms for the exchange of resources, in order to optimize the overall consumption of the community. We propose an authorization system to facilitate access to consumer information and resource trading, based on blockchain technology. Our proposal is oriented to the Smart communities, an evolution of Community Energy Management Systems, in which communities are involved in the monitoring and coordination of resource consumption. The proposed environment a
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Ravi, G., and T. Sujithamani. "Autonomic Resource Management and Energy Consumption in Cloud Environment." International Journal of Computer Applications 129, no. 3 (2015): 8–11. http://dx.doi.org/10.5120/ijca2015906778.

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Raileanu, Silviu, Florin Anton, Alexandru Iatan, Theodor Borangiu, Silvia Anton, and Octavian Morariu. "Resource scheduling based on energy consumption for sustainable manufacturing." Journal of Intelligent Manufacturing 28, no. 7 (2015): 1519–30. http://dx.doi.org/10.1007/s10845-015-1142-5.

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Dissertations / Theses on the topic "Energy and resource consumption"

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Michaelis, Peter. "Reducing resource consumption in the UK steel sector : an exergy analysis." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/842698/.

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This study has investigated the use of exergy analysis when applied to the UK steel sector. The aim has been twofold: to assess whether exergy analysis provides greater insight into physical processes at this level than conventional thermodynamic analyses; and whether it can be used to identify ways that this sector has reduced its impact on the environment in the past, and how this might continue in the future. An overview of the issues surrounding resource consumption and waste generation and their relationship to the steel sector are given [Chapter 1]. The theory behind exergy analysis is t
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Liu, Jiashang. "Resource Allocation and Energy Management in Green Network Systems." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587577356321898.

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Ackah, Ishmael. "Essays on energy consumption and oil resource management in oil producing African countries." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/essays-on-energy-consumption-and-oil-resource-management-in-oil-producing-african-countries(5703d6fa-58c2-40fc-a130-c67da933bf04).html.

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In September 2011, the UN General Secretary declared his vision of making modern energy accessible to all by 2030. Unfortunately, less than 50% of the population of Sub-Saharan Africa have access to modern forms of energy. This implies that Africa requires sustained investment in the energy sector. In order to provide investment guide and policy recommendations, this thesis seeks to investigate the determinants of renewable energy, energy efficiency practices and natural gas demand in oil producing African countries. The choice of these types of fuel is dictated by the fact that, renewable ene
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Chen, Ting. "Energy-Efficient Resource Allocation in OFDMA Systems." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-98683.

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In this thesis, a resource allocation problem in OFDMA is studied for the energy efficiency of wireless network. The objective is to minimize the total energy consumption which includes transmission energy consumption, and circuit energy consumption at both transmitter and receiver with required per user’s rate constraint. For problem solution, a heuristic algorithm with low computational complexity and suboptimal solution is proposed, developed in two steps with an increasing order of complexity. Besides, a bounding scheme based on model linearization of formulated nonlinear system model is a
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Leenes, Popkje Winfrieda. "Natural resource use for food land, water and energy in production and consumption systems /." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/298187221.

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Muchawaya, Davidzo. "Energy consumption patterns in rural Zimbabwe with special reference to the role of electricity as a development incentive [electronic resource] /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-09252008-151526/.

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Stellmann, Lars. "Germany's energy demand and supply until 2020 : implications for Germany's foreign energy policy." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FStellmann.pdf.

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Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, June 2003.<br>Thesis advisor(s): Robert E. Looney, Maria Rasmussen. Includes bibliographical references (p. 55-57). Also available online.
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Staples, Jacob. "Resource banking an energy-efficient, run-time adaptive processor design technique." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5047.

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From the earliest and simplest scalar computation engines to modern superscalar out-of-order processors, the evolution of computational machinery during the past century has largely been driven by a single goal: performance. In today's world of cheap, billion-plus transistor count processors and with an exploding market in mobile computing, a design landscape has emerged where energy efficiency, arguably more than any other single metric, determines the viability of a processor for a given application. The historical emphasis on performance has left modern processors bloated and over provision
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Alnowiser, Abdulaziz Mohammed. "TOWARD ENERGY-EFFICIENT SCHEDULING USING WEIGHTED ROUND-ROBIN AND VM REUSE." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/theses/1303.

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AN ABSTRACT OF THE THESIS OF Abdulaziz M. AlNowiser, for the Master of Science degree in Computer Science, presented on November 1, 2013, at Southern Illinois University Carbondale. TITLE: TOWARD ENERGY-EFFICIENT SCHEDULING USING WEIGHTED ROUND- ROBIN AND VM REUSE MAJOR PROFESSOR: Dr. Michelle M. Zhu In recent years, the rapid evolving Cloud Computing technologies multiply challenges such as minimizing power consumption and meeting Quality-of-Services (QoS) requirements in the presence of heavy workloads from a large number of users using shared computing resources. Powering a middle-sized dat
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Johansson, Susanne. "The Swedish foodprint : an agroecological study of food consumption /." Uppsala : Dept. of Ecology and Crop Production Science, Swedish University of Agricultural Sciences, 2005. http://epsilon.slu.se/200556.pdf.

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Books on the topic "Energy and resource consumption"

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Rainery, Richard. Alaska's public energy resources: Distribution of benefits of thermal energy and electric power energy resource consumption. Rural Research Agency, Alaska State Senate, 1985.

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Spilsbury, Richard. Energy resources. Wayland, 2009.

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Deborah, Ross. Puget Sound fuel blind integrated resource planning project: Final report. Washington State Energy Office, 1994.

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Jakab, Cheryl. Energy use. Smart Apple Media, 2007.

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Yount, Lisa. Energy supply. Facts on File, Inc., 2005.

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Bendavid-Val, Avrom. More with less: Managing Energy and Resource Efficient Cities. Bureau for Science and Technology, Agency for International Development, 1987.

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Administration, Bonneville Power. 1990 resource program. Bonneville Power Administration, 1990.

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Education, E2: Environment &. Energy conservation: A student audit of resource use. Dale Seymour, 1998.

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Net-energy analysis and the energy requirements of energy systems. Praeger, 1988.

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Bank, Asian Development. Energy statistics in Asia and the Pacific, 1990-2006. Asian Development Bank, 2009.

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Book chapters on the topic "Energy and resource consumption"

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Wiser, Wendell H. "Fossil Fuel Reserves Versus Consumption." In Energy Resources. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1226-3_7.

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de Barros Correia, Tiago, Gabriel Moreira Pinto, and Vitor Hugo da Silva Oliveira. "Auction Design to Procure Energy Efficiency Measures as Distributed Energy Resources." In Sustainable Consumption. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16985-5_23.

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Sarpong, Gideon, and Veera Gnaneswar Gude. "Energy Consumption and Recovery in Wastewater Treatment Systems." In Resource Recovery from Wastewater. Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003055501-4.

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Frisch, Jean-Romain. "Consumption Projections." In Future Stresses for Energy Resources. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4209-7_1.

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Povoa, Lucas Venezian, Cesar Marcondes, and Hermes Senger. "Modeling Energy Consumption Based on Resource Utilization." In Computational Science and Its Applications – ICCSA 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24289-3_18.

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Dagiliūtė, Renata. "Material and Energy Consumption in Lithuania: Towards Sustainability." In International Economics of Resource Efficiency. Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2601-2_10.

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Kersten, Rody, Paolo Parisen Toldin, Bernard van Gastel, and Marko van Eekelen. "A Hoare Logic for Energy Consumption Analysis." In Foundational and Practical Aspects of Resource Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12466-7_6.

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Brown, Charles E. "USA Oil and Natural Gas Consumption Forecasts." In World Energy Resources. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56342-3_19.

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Mastorakis, George, Spyros Panagiotakis, Kostas Kapetanakis, et al. "Energy and Resource Consumption Evaluation of Mobile Cognitive Radio Devices." In Resource Management in Mobile Computing Environments. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06704-9_16.

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Beyer, Dirk, and Philipp Wendler. "CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45237-7_8.

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Abstract Verification algorithms are among the most resource-intensive computation tasks. Saving energy is important for our living environment and to save cost in data centers. Yet, researchers compare the efficiency of algorithms still in terms of consumption of CPU time (or even wall time). Perhaps one reason for this is that measuring energy consumption of computational processes is not as convenient as measuring the consumed time and there is no sufficient tool support. To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal methods. As evidence for usefulness, we explored the energy consumption of some state-of-the-art verifiers and report some interesting insights, for example, that energy consumption is not necessarily correlated with CPU time.
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Conference papers on the topic "Energy and resource consumption"

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Silva, Edgar M., Pedro Malo, and Michele Albano. "Energy consumption awareness for resource-constrained devices." In 2016 European Conference on Networks and Communications (EuCNC). IEEE, 2016. http://dx.doi.org/10.1109/eucnc.2016.7561008.

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"RESOURCE SUBSTITUTION WITH COMPONENTS - Optimizing Energy Consumption." In 3rd International Conference on Software and Data Technologies. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001879000280035.

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Shah, Amip, and Kiara Corrigan. "Extending Lifecycle Exergy Analysis Beyond Resource Consumption." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90082.

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In this paper, we explore a reduced-order framework to predict the sustainability of a given system. The approach combines concepts from economic theory, thermodynamics, and the environmental sciences into a simple scheme that allows evaluation of system sustainability in terms of a small number of variables. The underlying hypothesis behind the work is that sustainability can be correlated to reversibility, and therefore should bear a relationship with transitions from an initial benign state. We propose evaluation along three dimensions: (i) physical; (ii) economic; and (iii) social. The mea
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Jagroep, Erik, Jan Martijn Werf, van der, Jordy Broekman, Leen Blom, Rob Vliet, van, and Sjaak Brinkkemper. "A Resource Utilization Score for Software Energy Consumption." In ICT for Sustainability 2016. Atlantis Press, 2016. http://dx.doi.org/10.2991/ict4s-16.2016.3.

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WU, Jia, Liu Chao, Wei CUI, and Wei LIU. "The Resource Scheduling Algorithm of Energy Consumption Optimization." In 2020 IEEE 2nd International Conference on Power Data Science (ICPDS). IEEE, 2020. http://dx.doi.org/10.1109/icpds51559.2020.9332481.

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Olanrewaju, Oludolapo A., Josiah L. Munda, and Adisa A. Jimoh. "Understanding the Impacts of GDP and Population in South Africa's Energy Consumption." In Environment and Water Resource Management. ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.813-016.

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Philippot, Olivier, Alain Anglade, and Thierry Leboucq. "Characterization of the energy consumption of websites: Impact of website implementation on resource consumption." In ICT for Sustainability 2014 (ICT4S-14). Atlantis Press, 2014. http://dx.doi.org/10.2991/ict4s-14.2014.21.

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Lynar, Timothy M., Ric D. Herbert, Simon, and William J. Chivers. "Reducing grid energy consumption through choice of resource allocation method." In Distributed Processing, Workshops and Phd Forum (IPDPSW). IEEE, 2010. http://dx.doi.org/10.1109/ipdpsw.2010.5470911.

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Khan, M., R. S. Alhumaima, and H. S. Al-Raweshidy. "Reducing energy consumption by dynamic resource allocation in C-RAN." In 2015 European Conference on Networks and Communications (EuCNC). IEEE, 2015. http://dx.doi.org/10.1109/eucnc.2015.7194062.

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Qu, Li-juan, Li-nan Lei, Wei Chen, and Jin-yuan Qian. "Energy Consumption Prediction of University Buildings in China and Strategies for Energy Efficiency Management." In ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/es2015-49071.

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In 2007, Chinese Ministry of Education (MOE) and Ministry of Housing &amp; Urban-Rural Development (MOHURD) carried out the Campus Resource Conservation Actions, in order to take full use of resources and to improve the energy efficiency. However, due to the large amounts of universities, the total energy consumption and the energy efficiency situation have no objective statistics. Taking modeling the energy consumption of university buildings as the starting point, this paper analyzes the characteristics of university buildings in China. Then, we do the prediction, trend and potential analysi
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Reports on the topic "Energy and resource consumption"

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Baker, Justin S., George Van Houtven, Yongxia Cai, et al. A Hydro-Economic Methodology for the Food-Energy-Water Nexus: Valuation and Optimization of Water Resources. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0044.2105.

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Growing global water stress caused by the combined effects of growing populations, increasing economic development, and climate change elevates the importance of managing and allocating water resources in ways that are economically efficient and that account for interdependencies between food production, energy generation, and water networks—often referred to as the “food-energy-water (FEW) nexus.” To support these objectives, this report outlines a replicable hydro-economic methodology for assessing the value of water resources in alternative uses across the FEW nexus–including for agricultur
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Zankovskij, S. S. THE PROBLEM OF QUALIFICATION OF RECOVERY FROM A CONSUMER ENERGY RESOURCES IN THE MAXIMUM VOLUME WITH RUNNING OUT ELECTRICITY CONSUMPTION AS A PROPERTY MEASURE LIABILITY. Modern Science., 2020. http://dx.doi.org/10.18411/0131-5226-2020-60001.

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Guix, M., and G. Bronevetsky. Active Measurement of Memory Resource Consumption. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1080399.

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Author, Not Given. Household vehicles energy consumption, 1988. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7154211.

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Flanagan, D. M., H. J. Tsao, R. L. Jr Schmoyer, and J. M. MacDonald. Nonresidential Building Energy Consumption Survey (NBECS). Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6393534.

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Author, Not Given. Household energy consumption and expenditures 1987. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/5127577.

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Yourtchenko, A., and L. Colitti. Reducing Energy Consumption of Router Advertisements. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7772.

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Jerald Brevick, clark Mount-Campbell, and Carroll Mobley. Energy Consumption of Die Casting Operations. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/822409.

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Szydlowski, R. F., and W. D. Jr Chvala. Energy consumption of personal computer workstations. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10134947.

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Leslie Roberts and Michael Hagood. Western Energy Corridor -- Energy Resource Report. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1027917.

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