Gotowe bibliografie tematyczne / Residential household

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Gotowa bibliografia na temat „Residential household”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Residential household"

Çelik, Ali Kemal, and Betül Tamer. "Household’s Fuel Type Choice for Space Heating in Türkiye: A Comparison of Multinomial Logit and Multinomial Probit Models." International Journal of Energy Economics and Policy 14, no. 6 (2024): 651–64. http://dx.doi.org/10.32479/ijeep.17253.

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Better understanding of households’ fuel type choice behaviour for residential heating, cooking, or lighting purposes would provide valuable information in estimating households’ energy use and in developing efficient fuel switching and energy saving policies; these solutions could include reducing consumption and utilising renewable energy sources. This paper aims to explore potential determinants of household’s fuel choice for residential heating in Türkiye. Using nineteenth wave of Household Budget Survey which was administered to 11,828 households and 40,688 individuals throughout the cou

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Estiri, Hossein, and Andy Krause. "A Cohort Location Model of household sorting in US metropolitan regions." Urban Studies 55, no. 1 (2016): 71–90. http://dx.doi.org/10.1177/0042098016668783.

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In this paper we propose a household sorting model for the 50 largest US metropolitan regions and evaluate the model using 2010 Census data. To approximate residential locations for household cohorts, we specify a Cohort Location Model (CLM) built upon two principle assumptions about housing consumption and metropolitan development/land use patterns. According to our model, the expected distance from the household’s residential location to the city centre(s) increases with the age of the householder (as a proxy for changes in housing career over life span). The CLM provides a flexible housing-

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Park, Hwan-Su, and Jae-Su Lee. "A Comparative Study of Residential Mobility Patterns and Characteristics of Households by Life Cycle Stage:Household Mobility between 2001 and 2020 in the Seoul Metropolitan Region." Korean Association of Urban Policies 13, no. 4 (2022): 5–31. http://dx.doi.org/10.21447/jusre.2022.13.4.5.

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This study compares and analyzes changes of housing movement patterns by stage of life cycle in the Seoul metropolitan region over the past 20 years. It also aims to understand the direction and the amount of movement by life cycle stage from the perspective of housing consumer. In addition, the reason for classifying residential mobility by stage of the life cycle is that the age of the householder, marital status, the relationship between the householder and the household member, and the age of the household member affected the change in residential mobility pattern. And the reasons for resi

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Marsh, Kris, and John Iceland. "The Racial Residential Segregation of Black Single Living Alone Households." City & Community 9, no. 3 (2010): 299–319. http://dx.doi.org/10.1111/j.1540-6040.2010.01338.x.

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While many studies have examined the intersection of race and class with residential segregation and residential preferences, little is known about the role played by household composition in shaping residential patterns. This article focuses on the residential patterns of a particular kind of household: those consisting of persons single and living alone (SALA). We compare the residential segregation of black SALA households—an important subset of nonfamily households and a rapidly growing segment of the population—from white SALA households and from both white and black married–couple househ

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Abdul Fattah, Hamizah, and Nurwati Badarulzaman. "RESIDENTIAL PREFERENCES IN RESIDENTIAL LOCATION CHOICE." Malaysian Journal of Sustainable Environment 5, no. 2 (2018): 41. http://dx.doi.org/10.24191/myse.v5i2.5616.

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Residential mobility attempts to address problems on households' life adjustments or the mismatch between residents' present needs and housing consumption. The desired preferences of each household may be complex to determine, but the trends or preferences in a residential area can be captured. Residential location choice stimulates residential mobility decision on the selection of a particular area. This study aims to identify residential preferences on relocation using a selected sample of 323 households in Penang who intend to move in the near future. Results show that residents prefer to m

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Narayana Palety, Badari, and C. Mahalakshmi. "Analysing the Residential Electricity Consumption using Smart Meter." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 2s (2022): 36–49. http://dx.doi.org/10.17762/ijritcc.v10i2s.5910.

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A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the advancement of smart power measuring technology. Electricity demand management and utility load management are made easier by energy usage forecasts. The majority of earlier studies have concentrated on the power consumption of business clients or residential buildings, or they have experimented with individual household electricity usage using behavioral and occupant sensor information. This study used smart meters to examine energy usage at a single household level to enhance residential energy s

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Kim, Saehim, Joonwon Hwang, and Myeong-Hun Lee. "Effect of Housing Support Programs on Residential Satisfaction and the Housing Cost Burden: Analysis of the Effect of Housing Support Programs in Korea Based on Household Attributes." Land 11, no. 9 (2022): 1392. http://dx.doi.org/10.3390/land11091392.

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Korea is implementing housing support programs such as public rental housing and housing allowances to improve the housing welfare of low-income households. In this study, we empirically analyzed the effects of the public rental housing program and the housing allowance program on residential satisfaction and the housing cost burden of policy beneficiaries. In accordance with household attributes, we analyzed how the status of using these programs affected each group’s residential satisfaction and housing cost burden. We used the data from the 2020 Korea Housing Survey conducted by the Ministr

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Gomaa, Mohammed M. "Macro-Level Factors Shaping Residential Location Choices: Examining the Impacts of Density and Land-Use Mix." Land 12, no. 4 (2023): 748. http://dx.doi.org/10.3390/land12040748.

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Many published papers have delved into the factors affecting the residential location choices of households using various logit models. Nonetheless, only a few pieces of literature have attempted to examine those associative attributes from a macroscopic view. Thus, this article investigates the factors that influence households’ preference to reside in densely populated locations or regions with a wide variety of land-use types using ordered choice models (ORM). This study proposes three indicators that are reflective of residential areas, namely population density, housing density, and land-

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Romanach, Lygia, and Elisha Frederiks. "Understanding the Key Determinants of Residential Firewood Consumption in Australia: A Nationwide Household Survey." Energies 14, no. 20 (2021): 6777. http://dx.doi.org/10.3390/en14206777.

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A range of energy sources are used by households across the globe, including electricity, gas, solar, and wood. While there is a large body of international research aimed at understanding household energy use in general, very few studies have focused on the specific topic of residential firewood consumption. In Australia, empirical research to investigate and quantify residential firewood consumption is scarce and outdated, despite the importance of such research for better understanding overall household energy costs and carbon emissions. Unlike other power sources, such as electricity, gas

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Ruranga, Charles, and Scott Hacker. "The Determinants of Households Having Savings Accounts in Rwanda." Rwanda Journal of Social Sciences, Humanities and Business 1, no. 1 (2020): 6–19. http://dx.doi.org/10.4314/rjsshb.v1i1.2.

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This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household havin

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Rozprawy doktorskie na temat "Residential household"

Li, Weixuan S. M. Massachusetts Institute of Technology. "Modeling household residential choice using multiple imputation." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92596.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014. Thesis: M.C.P., Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2014. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 95-98). Households are one of the core agents in the urban system. Household behavior plays a crucial role in urb

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Wasi, Nada. "Essays on household mobility, urban amenities, economic opportunities and costs /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3161970.

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Mansouri-Azar, Iman. "Energy consumptions and environmental impacts of household electrical appliances." Thesis, Cranfield University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336522.

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Tan, Consilz. "What drives household residential property investors? A cross-country behavioural analysis." Thesis, Tan, Consilz (2014) What drives household residential property investors? A cross-country behavioural analysis. PhD thesis, Murdoch University, 2014. https://researchrepository.murdoch.edu.au/id/eprint/26718/.

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The real estate investment markets of Australia and Malaysia are continuously developing, due to the reputation of real estate as a lower risk investment. Individual investors play an important role in shaping the development of each of these real estate markets. This research aims to explore the behaviour – specifically, bounded rationality – of individual real estate investors, which, so far, has been unexplored. Individual investors are frequently described as rational and as optimising their choices out of self-interest. However, this research hypothesises that boundedly rational behaviour

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Cham, Lansana Juldeh. "Household intervention and residential satisfaction in low-income housing in Kissy, Freetown." Thesis, University College London (University of London), 1992. http://discovery.ucl.ac.uk/1349808/.

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My involvement with low-income housing development in Freetown particularly in the Kissy area between 1983 and 1988 sparked my interest in the evolving problem of housing deterioration in most parts of the city. The dominant theme of almost universal relevance, i.e. housing improvement, had impressed itself upon me as a result. I therefore felt that a comprehensive study of the problem need to be carried out. If one permits his hopes to condition his speculations, one may conclude that housing improvement among low-income households will improve the quality of life for the majority of the inha

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Suero, Francisco J. "Estimating and Verifying Household Potential to Conserve Water." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/762.

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This thesis identifies impacts of behaviors and technology on residential indoor water use and conservation efforts. We use pre-existing detailed end-use data collected before and after toilets, faucets, showerheads, and clothes washers were retrofitted in 96 owner-occupied, single-family households in Oakland, California; Seattle, Washington; and Tampa, Florida between 2000 and 2003. Water volume, duration of use, and time of use were recorded and disaggregated by appliance for two weeks before and four weeks after appliances were retrofitted. For each appliance, we compare observed differenc

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Pushkar, Anna O. "Modelling household residential search processes, methodology and preliminary results of an original survey." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq40925.pdf.

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Anil, Bulent. "The persistence of spatial mismatch the determinants of moving decision among low-income households /." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-11292007-111956/.

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Thesis (Ph. D.)--Georgia State University, 2007. Title from file title page. David L. Sjoquist, committee chair; Geoffrey K. Turnbull, Erdal Tekin, Charles L. Jaret, committee members. Electronic text (118 p.) : digital, PDF file. Description based on contents viewed on July 14, 2008. Includes bibliographical references (p. 107-117).

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Sengupta, Prami, Victor W. Harris, Brian Visconti, and Ginny Hinton. "The Role of Relationship Satisfaction in Predicting Residential Well-Being." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/secfr-conf/2018/schedule/6.

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There is a substantial body of literature establishing relationship satisfaction as a significant predictor of an individual’s psychological and physical wellbeing. This study expands that literature by studying an individual’s intention to strengthen and sustain the physical well-being of his/her residence as a function of his/her relationship satisfaction. Bronfenbrenner’s Ecological Model provides the overarching framework for this study. Fundamental to the ecological theory is the interaction between an individual and its surrounding environments. Based on this, the study aims in exploring

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Howden, Lindsay Michelle. "Household type, economic disadvantage, and residential segregation: empirical patterns and findings from simulation analysis." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2393.

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In this thesis I focus on segregation between households giving attention to the roles that family type, economic inequality, and race can play in promoting and maintaining these patterns. I first consider three lines of urban ecological theory that have been offered to help explain patterns of segregation. One line of theory emphasizes the role of variation in preferences and needs. The second emphasizes urban structure, market dynamics, and economic inequality, while the third emphasizes the role of race. Research examining the role of consumer preferences in the neighborhood and housing cho

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Książki na temat "Residential household"

1911-, Arnold Mildred G., Ketterer Linda E, and Peet Louise Jenison 1885-, eds. Household equipment in residential design. 9th ed. Wiley, 1986.

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Singapore. Housing and Development Board. Research Section., ed. Residential mobility and housing aspirations. Research Section, Research & Planning Dept., Housing & Development Board, 2000.

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Helderman, Amanda C. Continuities in homeownership and residential relocations. Koninklijk Nederlands Aardrijkskundig Genootschap, 2007.

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Lall, Simik V. Household savings and residential mobility in informal settlements. World Bank, 2005.

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Peterson, Chris J., and Daniel M. Stout, eds. Pesticides in Household, Structural and Residential Pest Management. American Chemical Society, 2010. http://dx.doi.org/10.1021/bk-2009-1015.

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J, Peterson Chris, and Stout Daniel M, eds. Pesticides in household, structural, and residential pest management. American Chemical Society, 2009.

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J, Peterson Chris, and Stout Daniel M, eds. Pesticides in household, structural, and residential pest management. American Chemical Society, 2009.

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Stuart, Lettice. Making the move: A practical guide to senior residential communities. Avon Books, 1997.

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K, Fields Alison, and U. S. Census Bureau, eds. Seasonality of moves and the duration and tenure of residence, 2004. U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2010.

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Marlay, Matthew C. Seasonality of moves and the duration of tenure of residence, 2004. U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2010.

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Części książek na temat "Residential household"

Bree, Philipp, Gioia Meller Marcovicz, and Peter Thonet. "Haushalt / Wohnen Household / Residential." In iF yearbook product.05. Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/978-3-7643-7789-2_5.

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Feldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.

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Hunt, J. D., J. E. Abraham, and T. J. Weidner. "Household Behaviour in the Oregon2 Model." In Residential Location Choice. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_9.

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Liang, Wenquan, Ran Song, and Christopher Timmins. "The Role of Migration Costs in Residential Sorting." In The Urban Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74544-8_4.

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AbstractEconomistsgenerallyemploytwo ‘revealed preference’ approaches to measure households’ preferences for non-market amenities—the hedonic and equilibrium sorting models. The conventional hedonic model assumes free mobility across space. Violation of this assumption can bias the estimates of household willingness to pay for local amenities. Mobility constraints are more easily handled by the sorting framework. In this chapter, we examine the role of migration costs in household residential sorting and apply these two models to estimate the willingness to pay for clean air in the USAand Chin

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LaCour-Little, Michael. "Default and Prepayment Risk in Residential Mortgage Loans: A Review and Synthesis." In Household Credit Usage. Palgrave Macmillan US, 2007. http://dx.doi.org/10.1057/9780230608917_15.

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Song, Feng, and Jieqi Wu. "Study of Residential Demand-Side Management." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_10.

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Wu, Shimei. "Methods for Estimating Residential Energy Consumption." In Household Energy Consumption in China: 2016 Report. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_3.

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De Martino Jannuzzi, Gilberto, Vanice Ferreira dos Santos, Mara F. L. Bittencourt, and Paulo Augusto Leonelli. "Implementation and Evaluation of Residential Lighting Projects in Brazil." In Energy Efficiency in Household Appliances. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60020-3_49.

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Meen, Geoffrey, Kenneth Gibb, Chris Leishman, and Christian Nygaard. "Residential Density Revisited: Sorting and Household Mobility." In Housing Economics. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-47271-7_8.

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Tokunaga, Suminori. "Behavior of the Household with Land." In Landownership and Residential Land Use in Urban Economies. Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-68410-7_2.

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Streszczenia konferencji na temat "Residential household"

Kharazi, Somaieh, Owen Stenstadvolden, Long Zhao, Mohammad Heidari Kapourchali, Sean Bestgen, and Wei-Jen Lee. "Household-Level Temperature Sensitivity Extraction for Residential Consumer Segmentation." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061576.

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Omakoji, Omata David, Opoku Richard, and Zinsou Gil-Christ. "Energy Efficiency, Cost-Saving Opportunities and Nearly Zero Emissions Analysis in the Residential Sector." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-lkc7on.

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This study evaluates the energy efficiency, cost-saving opportunities and nearly zero emissions for the residential sectors of Ghana and Nigeria, focusing on three household appliances: fridges, freezers and bulbs. It analyses the integration of renewable energy systems in residential households, comparing energy-efficient and non-energy-efficient scenarios in both countries. The study uses field data, existing data on RETScreen software and analytical methods to examine the energy consumption patterns of key household appliances and their impact on renewable energy system design, cost, and em

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Dou, Kai, Zekai Fan, Yuhan Zhang, Wenhan Wu, Feng Ye, and Jun Chen. "Exploring the Use of Large AI Models for Floor Live Load Surveys: A Preliminary Study." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2435.

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Reliable live load values are essential for the reliability design of civil structures. Due to the inherent randomness of live loads, collecting a large amount of sample data is crucial for accurate load modeling. Traditional survey methods typically rely on sampling to investigate floor live loads, which poses several challenges, such as low efficiency, high costs, and privacy concerns. Additionally, weighing large indoor items on-site, such as heavy furniture or household appliances, presents significant difficulties, further limiting the accuracy of load surveys.

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Zhang, Xiaoou Monica, Katarina Grolinger, Miriam A. M. Capretz, and Luke Seewald. "Forecasting Residential Energy Consumption: Single Household Perspective." In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018. http://dx.doi.org/10.1109/icmla.2018.00024.

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Sokolova, Alice, and Baris Aksanli. "Demographical Energy Usage Analysis of Residential Buildings." In ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/es2018-7327.

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Residential energy consumption constitutes a significant portion of the overall energy consumption. There are significant amount of studies that target to reduce this consumption, and these studies mainly create mathematical models to represent and regenerate the energy consumption of individual houses. Most of these models assume that the residential energy consumption can be classified and then predicted based on the household size. As a result, most of the previous studies suggest that household size can be treated as an independent variable which can be used to predict energy consumption.

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Addala, Bhavani Sai Prasad, Mohammad Mehabadi Mohammadi, and Kenneth B. Kent. "DGSim: A Scalable Framework For Simulating Energy Consumption Of Household Appliances." In 39th ECMS International Conference on Modelling and Simulation. ECMS, 2025. https://doi.org/10.7148/2025-0562.

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Traditional household energy simulation tools often struggle to efficiently scale with increasing numbers of appliances and households, leading to high computational overhead and synchronization delays. In this work, we introduce DGSim, a scalable framework for simulating household energy consumption that supports extensive simulations with millions of instances while allowing detailed customization of appliances, usage patterns, and community demographics. DGSim incorporates stochastic techniques, parallel processing, chunking, and dynamic core allocation to improve execution efficiency. Our

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Mojić, Dušan. "SOCIO-ECONOMIC AND CULTURAL INFLUENCES ON THE HOUSEHOLD TRANSITION TO RENEWABLE ENERGY SOURCES: A RESEARCH DESIGN." In Eighth International Scientific Conference Contemporary Issues in Economics, Business and Management [EBM 2024]. Faculty of Economics, Kragujevac, 2025. https://doi.org/10.46793/ebm24.279m.

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Energy production and consumption patterns represent one of the greatest political, economic and social challenges the world has faced in recent decades. Although measures to address these challenges have been planned and implemented at global, regional, national and local levels, households remain one of the most important actors in tackling these challenges. In 2022, for example, households accounted for 25.8% of final energy consumption in the EU (with 63.5% of final energy consumption used for heating purposes in the residential sector). In Serbia, the share of household energy consumption

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Vibhute, Siddhant, Deepti Shakya, and Anupama Kowli. "Quantifying the Demand Response Potential of Residential Loads in India." In ENERGISE 2023. Alliance for an Energy Efficient Economy (AEEE), 2024. http://dx.doi.org/10.62576/xedc4346.

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The paper investigates how residential loads in India contribute to grid peak load and how to manage such peaks. Algorithms that process smart meter data from residential loads and compute attributes that capture their contribution to the system peak are devised and demonstrated in the paper. Specifically, a distribution system is considered based on a study on households in Pune, India. To enhance the household dataset for analysis, a synthetic data generation technique is employed. The algorithms developed here are applied to this system to showcase their capabilities. Results show how simpl

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Jafari-Marandi, Ruholla, Mengqi Hu, and Souma Chowdhury. "A System of System Approach for Smart Complex Energy System Operation Decision." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47415.

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The emerging technology in smart grids enables a bi-directional communication between buildings and power grids. Not only can a building request energy from power grid, but it is also able to sell surplus energy back to power grid or to its neighborhood buildings. The vision is that multiple residential houses can freely form a smart complex to share energy and exchange information, which is expected to reduce energy consumption and achieve significant energy cost savings. However, the study of the operation decisions of a smart complex with multiple residential buildings is limited in the lit

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Covington, Hannah, Brian Woo-Shem, Chenli Wang, Thomas Roth, Cuong Nguyen, and Hohyun Lee. "Stochastic Method for Generating Residential Household Energy Models of Varying Income Level and Climate Zone for Testing Energy Fairness." In ASME 2023 17th International Conference on Energy Sustainability collocated with the ASME 2023 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/es2023-107421.

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Abstract Interest in residential energy management necessitates fairness testing of energy technology and policy developments. Considering income level is particularly important because increased utility bills put low-income households at higher risk of economic and health issues. This paper proposes a novel method for generating diverse household energy models of varying income level and climate zone, which can be used to test the fairness of residential energy developments. Models are stochastically generated using probability distributions based on data from national surveys. Included in th

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Raporty organizacyjne na temat "Residential household"

Beltrão, Kaizô I., Rosa M. R. Massena, and David M. Vetter. The Impact of the Sense of Security from Crime on Residential Property Values in Brazilian Metropolitan Areas. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011493.

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Using a hedonic residential rent model for Brazil's metropolitan areas calibrated with microdata from Brazil's annual household survey, this study estimates that increasing the sense of security in the home by one standard deviation would increase average home values by R$1,513 (US$757), or about US$13. 6 billion if applied to all 18.0 million households in the study area. The principal components analysis of sense of security and crime victimization variables indicates that higher-income households feel more secure from crime in the home, even though theft and robbery victimization rise with

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Nguyen, Kim. Do Australian Households Borrow to Keep up with the Joneses? Reserve Bank of Australia, 2022. http://dx.doi.org/10.47688/rdp2022-06.

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I examine whether and how local income inequality affects household debt and its composition using household panel data for Australia from the Household, Income and Labour Dynamics in Australia Survey. I find that middle-income households without liquidity and credit constraints tend to borrow more for non-residential investment purposes as local income inequality rises, suggesting that they are trying to close the income gap. They also appear to try to close the consumption gap by accumulating more car debt with a rise in local income inequality. Both findings are consistent with households '

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Kacha, Ondrej, Filippo Muzi-Falconi, JingKai Ong, Jesper Akesson, and Robert Metcalfe. Applying behavioural insights to unlock residential demand flexibility: Guidebook for practitioners. The Behaviouralist, 2024. http://dx.doi.org/10.47568/6xr130.

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This guidebook provides essential guidance to policymakers and energy suppliers interested in applying behavioural insights to improve residential demand response. This involves changing household energy consumption habits, promoting the uptake of demand-response technologies, and improving household participation in demand-response programmes.

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McRae, Shaun D. Residential Electricity Consumption and Adaptation to Climate Change by Colombian Households. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005017.

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This paper provides the first empirical estimates of the relationship between temperatures and household electricity consumption in Colombia, using electricity billing and weather data from 2010 to 2019. I find that higher temperatures (or higher values of the heat index) increase electricity consumption, with the largest effects observed for high-income households in regions with hot climates. However, I show that there has been partial convergence between low- and high-income households, with the effect of temperature on electricity consumption in lower-income neighborhoods more than doublin

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Barbose, Galen L., Naim R. Darghouth, Ben Hoen, and Ryan H. Wiser. Income Trends of Residential PV Adopters: An analysis of household-level income estimates [PowerPoint presentation]. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1433126.

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Julian, Christopher, Krista Westrick-Payne, and Wendy Manning. Recent Marriages to Same-sex and Different-sex Couples: Mobility, Region, Home Ownership, and Household Income, 2023. National Center for Family and Marriage Research, 2025. https://doi.org/10.25035/ncfmr/fp-25-19.

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June 26, 2025 marks the tenth anniversary of the landmark Obergefell v. Hodges decision, which legalized same-sex marriage nationwide in the United States. This Family Profile examines newlywed same-sex and different-sex couples, focusing on geographic and economic indicators: residential mobility, census region, homeownership, and household income. This analysis updates a prior profile (FP-23-28; Westrick-Payne & Manning, 2023) using the American Community Survey, 1-year estimates 2023 from IPUMS USA (Ruggles et al., 2024). We identified couples using the revised household relationship ro

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Figueroa, M. J., A. Ketoff, and O. Masera. Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10160873.

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Jimenez Mori, Raul Alberto, and Ariel Yépez-García. Understanding the Drivers of Household Energy Spending: Micro Evidence for Latin America. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0011795.

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The paper investigates the determinants of household energy spending and energy budget shares, with a focus on understanding their non-linear relationship with income, and the presence of economies of scale. The analysis is based on a unique, harmonized collection of official household surveys from 13 Latin American countries. This dataset allows distinguishing between expenditures on electricity, domestic gas, and fuel for private transportation, providing a comprehensive distributional view of the energy spending profile of the residential sector. The estimated empirical Engel curves behave

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Lloyd, Cynthia B., and Catherine M. Marquette. Directory of Surveys in Developing Countries: Data on Families and Households, 1975–92. Population Council, 1992. http://dx.doi.org/10.31899/pgy1992.1000.

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This directory of surveys contains data on families and households in developing countries. The emphasis is on intergenerational linkages as well as conjugal ties and co-residential arrangements. Surveys that do not situate individuals within a family or household context are excluded. Thus, many labor force surveys with data on the employment status and earnings of men and women are not included unless they also collected data on respondents’ children and/or households. The same is true of contraceptive prevalence surveys that limit their attention to women’s reproductive behavior. The majori

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Jimenez Mori, Raul Alberto, and Ariel Yépez-García. Composition and Sensitivity of Residential Energy Consumption. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011757.

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Understanding how energy use evolves at different stages of development is essential for reliable prospective analysis and planning. With that aim in mind, this paper examines the composition of residential energy consumption and its sensitivity to income changes, distinguishing fuel types and accounting for complete heterogeneity of the income coefficient. The focus on domestic energy use allows for the examination of fuel transition under the conceptual framework of the energy ladder and energy portfolio hypotheses, showing the increasing need for modern fuels in the household sector. The re

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