Academic literature on the topic 'Building consumption'

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Journal articles on the topic "Building consumption"

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Wang, Endong, and Zhigang Shen. "LIFECYCLE ENERGY CONSUMPTION PREDICTION OF RESIDENTIAL BUILDINGS BY INCORPORATING LONGITUDINAL UNCERTAINTIES." Journal of Civil Engineering and Management 19, Supplement_1 (2014): S161—S171. http://dx.doi.org/10.3846/13923730.2013.802744.

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Accurate prediction of buildings’ lifecycle energy consumption is a critical part in lifecycle assessment of residential buildings. Longitudinal variations in building conditions, weather conditions and building's service life can cause significant deviation of the prediction from the real lifecycle energy consumption. The objective is to improve the accuracy of lifecycle energy consumption prediction by properly modelling the longitudinal variations in residential energy consumption model using Markov chain based stochastic approach. A stochastic Markov model considering longitudinal uncertai
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Tang, Jinhai, Jian Li Hao, Wenting Ma, and Luigi Di Sarno. "DETERMINANTS OF UNIVERSITY BUILDING OPERATION ENERGY CONSUMPTION THROUGH A CASE STUDY." Journal of Green Building 20, no. 1 (2025): 153–82. https://doi.org/10.3992/jgb.20.1.153.

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ABSTRACT With the expansion of public buildings in China and rise in carbon emission from energy consumption, it has become essential to improve the efficiency of public building operation energy consumption to reduce carbon emissions. However, it is not clear how to optimally reduce the energy consumption of public buildings from a holistic perspective. This study identifies the factors impacting energy consumption of public buildings by reviewing existing literature and establishes a framework for illustrating the interactions between the identified factors. The framework is validated throug
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Lv, Xiujuan, Wuxin Chen, and Xuefeng Bai. "Energy consumption modelling analysis of prefabricated buildings based on KPCA-WL SSVM." Thermal Science 26, no. 5 Part A (2022): 4031–42. http://dx.doi.org/10.2298/tsci2205031l.

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The energy consumption of prefabricated buildings under multi-layer building materials system is affected by different weight factors. In order to improve the level of energy consumption prediction, a method of energy consumption prediction of prefabricated buildings under multi-layer building materials system based on KPCA - WL SSVM is proposed. Taking indoor ambient temperature, lighting conditions, utilization rate of electric facilities, etc. as the combined weight of assembled building energy consumption under multi-layer building materials system structure, the energy consumption simulat
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Jiang, Yun Sheng, Nian Ping Li, Xiao Qing Wei, and Qing Huang. "Analysis of Energy Consumption and Electricity Consumption Norm of Hotel Building in Changsha, China." Key Engineering Materials 517 (June 2012): 844–49. http://dx.doi.org/10.4028/www.scientific.net/kem.517.844.

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The purpose of this study is to discuss the use of energy in hotel building in Hunan province, P. R. China, and to explore the application of building energy conservation. 25 hotel buildings were selected and the investigations of energy consumption data was carried through in Changsha of Hunan province .The building comprehensive consumption of energy and electricity were got from the energy consumption computing method of public buildings. It can be got these indexes of unit energy consumption electricity consumption and so on through unit conversion. According to the current situation of bu
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Matiullah Ahsan, Zainab Zainal, Md Nor Ramdon Baharom, et al. "Consumption-Based Priority Algorithm for Energy Consumption." Journal of Advanced Research in Applied Sciences and Engineering Technology 38, no. 1 (2024): 89–96. http://dx.doi.org/10.37934/araset.38.1.8996.

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Energy management is a critical component of intelligent, low-energy buildings. Demand-side management may benefit more from energy management. It could allow the system to use less energy while still meeting its demand for the available resources. According to recent research, buildings may reduce their energy use by up to 30% via improved operations, which are often based on effective energy management using the load priority algorithm. As a result, there is still room for energy savings in buildings via improved and effective operation. Smart grids provide electricity systems with suitable
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Yang, Yuting, and Peng Wang. "Effects of Building Physics Form on Energy Consumption for Buildings." Journal of Physics: Conference Series 2186, no. 1 (2022): 012008. http://dx.doi.org/10.1088/1742-6596/2186/1/012008.

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Abstract The building sector plays an important role in urban energy conservation and CO2 emissions reduction. Therefore, it is necessary to fundamentally explore the influencing factors and mechanisms of building energy consumption. This study aims to explore the impact of building physical form on energy consumption for buildings. Firstly, this study uses different types of buildings as research objects. And method of combining EnergyPlus and GIS is used to calculate building energy consumption. Then adopting regression analysis to evaluate the impact of six building form indicators on build
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Wu, Thomas, Bo Wang, Dongdong Zhang, Ziwei Zhao, and Hongyu Zhu. "Benchmarking Evaluation of Building Energy Consumption Based on Data Mining." Sustainability 15, no. 6 (2023): 5211. http://dx.doi.org/10.3390/su15065211.

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University building energy consumption is an important proportion of the total energy consumption of society. In order to work out the problem of poor practicability of the existing benchmarking management method of campus building energy consumption, this study proposes an evaluation model of campus building energy consumption benchmarking management. By analyzing several types of feature data of buildings, this study uses random forest method to determine the building features that have outstanding contributions to building energy consumption intensity and building classification, and uses t
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Shulei, Cui. "Calculation and Study of Urban Building Energy Consumption in Shandong Province." Journal of Statistics and Economics 1, no. 2 (2024): 169–74. http://dx.doi.org/10.62517/jse.202411224.

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Since China put forward the "double carbon" goal, reducing the energy consumption level of urban buildings has become an important component of energy conservation and emission reduction work. To realize the effective control of the energy consumption level of urban buildings and carry out accurate building energy consumption is the key foundation. However, at present, from the perspective of China's provinces, there is still a lack of authoritative relevant statistical data release and calculation. Based on this, this study takes Shandong Province of China as an example, explores the calculat
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Shonbasova, S. Y., and G. S. Abiyeva. "INFLUENCE OF «URBAN HEAT ISLANDS» ON THE DEVELOPMENT OF THE ALMATY CITY." BULLETIN of D. Serikbayev EKTU 4 (December 10, 2024): 263–73. https://doi.org/10.51885/1561-4212_2024_4_263.

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Global energy consumption in buildings is steadily increasing due to rapid urbanization, climate change and other driving factors. Currently, when designing buildings, insufficient attention is paid to the problem of urban heating networks and air pollution in a densely built urban environment; it is necessary to create an integrated approach to solutions for adapting people's lives. It is no longer enough to satisfy the energy needs of societies, but it is necessary to do this while meeting overreaching sustainable goals which impose ever so stricter requirements for efficiency improvements,
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Liu, Shi Long, Yue Qun Xu, and De Sheng Ju. "Research on Energy Consumption Quota for Public Buildings in Hebei Province." Applied Mechanics and Materials 361-363 (August 2013): 231–34. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.231.

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Based on 107 data of public building energy auditing and energy consumption statistics, using multiple linear regression method, this paper given an equation for calculating energy public building consumption quota. It can get energy consumption quota simply and conveniently. The equation was close to actual energy consumption of public buildings. It consider building area, heating degree day (HDD) and building type. The results can be help the government formulate the energy consumption quota for public buildings.
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Dissertations / Theses on the topic "Building consumption"

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Evers, David Victor Harmen. "Building for consumption." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2004. http://dare.uva.nl/document/72751.

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Proefschrift Universiteit van Amsterdam.<br>Ondertitel op omslag: An institutional analysis of peripheral shopping center development in Northwest Europe. Met lit. opg. - Met samenvatting in het Nederlands.
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Wong, Chun-hung Samuel. "Opportunities for building energy conservation in Hong Kong (residential buildings) /." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1873439X.

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Hopeman, Lisa Maria. "Energy consumption of building 39." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40430.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.<br>Includes bibliographical references (leaf 32).<br>The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and with that knowledge be able to recommend methods of reducing energy consumption by minimizing and even eliminating careless energy use. The largest energy consuming building per square foot, Building 39, was selected and analyzed in d
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Cooper, David L. "An eco-profile of building materials." N.p, 1997. http://ethos.bl.uk/.

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Balthazar, Edward John. "Residential building energy consumption and loss reduction methods." [Huntington, WV : Marshall University Libraries], 2008. http://www.marshall.edu/etd/descript.asp?ref=864.

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Thesis (M.S.)--Marshall University, 2008.<br>Title from document title page. Includes abstract. Document formatted into pages: contains ix, 94 p. : ill. Includes bibliographical references (p. 90-91).
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Kubátová, Anna. "Heating of building with almost zero energy consumption." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225687.

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The aim of the thesis is to model energetic needs for heating and temperatures progress in the building with almost zero energy consumption. The part of the work is the economical and energetic comparison. Proposed systems are based on a knowledge of active houses.
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Wong, Chun-hung Samuel, and 黃俊雄. "Opportunities for building energy conservation in Hong Kong (residential buildings)." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31253891.

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Lasker, Wasim Jamil A. "The impact of construction and building materials on energy consumption on Saudi residential buildings." Thesis, Heriot-Watt University, 2016. http://hdl.handle.net/10399/3109.

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As a result of increasing population and buildings construction in Saudi Arabia, the demand for electricity is growing rapidly. There should be a greater focus on build-ings in the kingdom and several methods should be applied in order to reduce en-ergy consumption and create a lower carbon economy as residential buildings ac-count for about 70 percent of the total consumption. Saudi Arabia therefore ur-gently needs to develop residential buildings which use less energy and are more environmentally-friendly. This study investigates the recent situation of Saudi residential buildings in terms o
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Afzalan, Milad. "Building Energy Profile Clustering Based on Energy Consumption Patterns." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99317.

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With the widespread adoption of smart meters in buildings, an unprecedented amount of high- resolution energy data is released, which provides opportunities to understand building consumption patterns. Accordingly, research efforts have employed data analytics and machine learning methods for the segmentation of consumers based on their load profiles, which help utilities and energy providers for customized/personalized targeting for energy programs. However, building energy segmentation methodologies may present oversimplified representations of load shapes, which do not properly capture the
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Paudel, Subodh. "Methodology to estimate building energy consumption using artificial intelligence." Thesis, Nantes, Ecole des Mines, 2016. http://www.theses.fr/2016EMNA0237/document.

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Les normes de construction pour des bâtiments de plus en plus économes en énergie (BBC) nécessitent une attention particulière. Ces normes reposent sur l’amélioration des performances thermiques de l’enveloppe du bâtiment associé à un effet capacitif des murs augmentant la constante de temps du bâtiment. La prévision de la demande en énergie de bâtiments BBC est plutôt complexe. Ce travail aborde cette question par la mise en œuvre d’intelligence artificielle(IA). Deux approches de mise en œuvre ont été proposées : « all data » et « relevant data ». L’approche « all data » utilise la totalité
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Books on the topic "Building consumption"

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Matsuura, Kenji. Local climate change and building energy consumption. C.W. Thornthwaite Associates, Laboratory of Climatology, 1991.

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M, MacDonald J., and Oak Ridge National Laboratory. Energy Division., eds. Existing building efficiency research, 1987-1988. Oak Ridge National Laboratory, Energy Division, 1988.

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Loper, Joe. Building on success: Policies to reduce energy waste in buildings. Alliance to Save Energy, 2005.

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National Science and Technology Council (U.S.). Subcommittee on Buildings Technology, Research, and Development. Submetering of building energy and water usage: Analysis and recommendations of the Subcommittee on Buildings Technology Research and Development. National Science and Technology Council, Committee on Technology, Subcommittee on Buildings Technology, Research, and Development, 2011.

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Brenden, John J. Heat release rates from wall assemblies: Oxygen consumption and other methods compared. U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1986.

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Cole, Judy Wiedenheft. Mineral land classification: Aggregate materials in the Fresno production-consumption region. California Dept. of Conservation, Division of Mines and Geology, 1988.

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Cole, Judy Wiedenheft. Mineral land classification: Aggregate materials in the Bakersfield production-consumption region. California Dept. of Conservation, Division of Mines and Geology, 1988.

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Lisa, Heschong, California Energy Commission. Public Interest Energy Research Program (PIER), and New Buildings Institute Inc, eds. Integrated energy systems : productivity & building science: Consultant report. California Energy Commission, 2003.

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Jones, Phil. Building log book toolkit: A guide and templates for preparing building log books. CIBSE, 2006.

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Judkoff, Ron. Building Energy Simulation Test for Existing Homes (BESTEST-EX): Test procedure : building thermal fabric cases. National Renewable Energy Laboratory, 2010.

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Book chapters on the topic "Building consumption"

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Buonicore, Anthony J. "Building Energy Consumption." In Energy Savings Calculations for Commercial Building Energy Efficiency Upgrades. CRC Press, 2024. http://dx.doi.org/10.1201/9781032692777-2.

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Jayne, Mark, Wu Siying, and Wu Chenhui. "Consumption, Pleasure, and Leisure." In Building the City. Routledge, 2025. https://doi.org/10.4324/9781003457589-8.

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Carvalho de Abreu Lima, Rodrigo, and Josiane Godoy Lima. "Building Upon Sustainable Consumption and Production for Food and Apparel." In Sustainable Consumption. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16985-5_19.

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Martin, Maximilian. "Changing Consumption and Production Patterns." In Building the Impact Economy. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25604-7_5.

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Sakamoto, Takayuki. "The Politics of Consumption Tax." In Building Policy Legitimacy in Japan. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780333982815_3.

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Aktaş, Can B. "Importance of Building Energy Efficiency Towards National and Regional Energy Targets." In Towards a Sustainable Future - Life Cycle Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77127-0_14.

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AbstractThe buildings sector in the EU consumes 40% of energy and is responsible for 36% of CO2 emissions. With growing public interest on the subject, there have been several EU policies developed to curb impacts. Statistical analysis conducted in the case study indicates an increase in both total and buildings’ energy consumption trends leading up to 2030, with total energy consumption having an expected value of 40% increase and building energy consumption having an expected value of 33% increase. Analysis results indicate that building energy consumption could be maintained at current leve
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Paltrinieri, Roberta, and Stefano Spillare. "Collaborative consumption and trust-building processes in the emerging new food economy." In Contemporary Collaborative Consumption. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-21346-6_7.

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Seyfang, Gill. "Sustainable Housing: Building a Greener Future." In The New Economics of Sustainable Consumption. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230234505_6.

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Sakamoto, Takayuki. "The Politics of a Consumption Tax Increase." In Building Policy Legitimacy in Japan. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780333982815_4.

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Standal, Karina, Harold L. Wilhite, and Solvår Wågø. "Household Energy Practices in Low-Energy Buildings: A Qualitative Study of Klosterenga Ecological Housing Cooperative." In Consumption, Sustainability and Everyday Life. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11069-6_3.

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AbstractThis chapter examines household energy practices in the ecological housing cooperative Klosterenga in Oslo, Norway. Klosterenga, built in 2000, was one of the early implementers of smart building principles in Oslo, Norway. Although the ecological profile of Klosterenga inspired some of the residents to change behavioural habits such as limiting their car use or consumption patterns, the findings of this article show that expectations of smart technology as a primary solution towards energy efficiency and residents being rational consumers using this technology to save costs do not hol
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Conference papers on the topic "Building consumption"

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Neelakandan, Viduran, Sai Suraj Voleti, Dhanush Srinivasan, and Gouthaman P. "Optimizing Building Energy Consumption using Smart Grid Data." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10863865.

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Bocian, Martyna, Alicja Siuta-Olcha, Tomasz Cholewa, et al. "Energy consumption in a multi-family residential building." In 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2025. https://doi.org/10.23919/splitech65624.2025.11091807.

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Sankey, Maxim L., Sheldon M. Jeter, Trevor D. Wolf, Donald P. Alexander, Gregory M. Spiro, and Ben Mason. "Continuous Monitoring, Modeling, and Evaluation of Actual Building Energy Systems." In ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/es2014-6610.

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Residential and commercial buildings account for more than 40% of U.S. energy consumption, most of which is related to heating, ventilation and air conditioning (HVAC). Consequently, energy conservation is important to building owners and to the economy generally. In this paper we describe a process under development to continuously evaluate a building’s heating and cooling energy performance in near real-time with a procedure we call Continuous Monitoring, Modeling, and Evaluation (CMME). The concept of CMME is to model the expected operation of a building energy system with actual weather an
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Kamal, Athar, Sami G. Al-Ghamdi, and Muammer Koc. "Building Stock Inertia and Impacts on Energy Consumption and CO2 Emissions in Qatar." In ASME 2019 13th International Conference on Energy Sustainability collocated with the ASME 2019 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/es2019-3854.

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Abstract Greenhouse gas emission reduction and the consequent decrease in the environmental impacts of fossil fuel can be achieved by cutting back on energy consumption in the building sector that consumes around 30% of total final energy around the globe. The building sector is a complex component of the modern economy and life and includes diverse types of structures, uses, and energy patterns. Such variability is a result of the way that buildings are designed, built, and used in addition to the variations of their materials, equipment, and users. From the start of the construction phase un
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Ahn, Ki-Uhn, and Cheol-Soo Park. "Time Series Correlation Between Occupants And Energy Consumption." In 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2507.

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Al Akkari, Noura, Aurélie Foucquier, and Sylvain Lespinats. "Empirical decomposition of time signals of power consumption." In 2023 Building Simulation Conference. IBPSA, 2023. http://dx.doi.org/10.26868/25222708.2023.1678.

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Yuan, Xiang, and Weiding Long. ""Per Capita Building Energy Consumption Occupied Space(PCEOS)" for Assessment of Building Energy Consumption." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5304217.

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STAEPELS, Liesbeth, Griet VERBEECK, Staf ROELS, Liesje VAN GELDER, and Geert BAUWENS. "Energy Performance Labels For Dwellings Versus Real Energy Consumption." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1331.

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Dimitriou, Vanda, Steven K. Firth, Tarek M. Hassan, Tom Kane, and Michael Coleman. "Data-Driven Simple Thermal Models: the Radiator-Gas Consumption Model." In 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2478.

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YAN, Bin, and Ali MALKAWI. "A Bayesian Approach For Predicting Building Cooling And Heating Consumption." In 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1344.

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Reports on the topic "Building consumption"

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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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Wilcox, Hannah. Virtual Metering for Monitoring Building Energy Consumption. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1643893.

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Vuppuluri, Prem. Impact of Sustainable Cool Roof Technology on Building Energy Consumption. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1529.

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Murakami, Shuzo, Mark D. Levine, Hiroshi Yoshino, et al. Energy Consumption, Efficiency, Conservation, and Greenhouse GasMitigation in Japan's Building Sector. COLLABORATION - KeioUniversity, 2006. http://dx.doi.org/10.2172/899740.

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Apte, Joshua, and Dariush Arasteh. Window-Related Energy Consumption in the US Residential andCommercial Building Stock. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/928762.

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Heiple, Shem. Using Building Energy Simulation and Geospatial Modeling Techniques in Determine High Resolution Building Sector Energy Consumption Profiles. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5287.

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Zorin, P. A., and O. V. Stukach. Database of thermal energy consumption by multi-storey residential buildings depending on meteorological factors and building characteristics. Ailamazyan Program Systems Institute of Russian Academy of Sciences, 2025. https://doi.org/10.12731/ofernio.2025.25452.

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Zorin, P. A., and O. V. Stukach. Database of thermal energy consumption by multi-storey residential buildings depending on meteorological factors and building characteristics. Ailamazyan Program Systems Institute of Russian Academy of Sciences, 2025. https://doi.org/10.12731/ofernio.2024.25452.

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Zhou, Nan, Masaru Nishida, and Weijun Gao. Current Status and Future Scenarios of Residential Building Energy Consumption in China. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/971856.

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Zhou, Nan, and Jiang Lin. The Reality and Future Scenarios of Commercial Building Energy Consumption in China. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/941175.

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