Methods used in social sciences that suit energy research: A literature review on qualitative methods to assess the human dimension of energy use in buildings
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Roberto Lamberts | Simona D'Oca | Enedir Ghisi | Mateus Vinícius Bavaresco | R. Lamberts | Simona D'Oca | E. Ghisi | M. Bavaresco
[1] David E. Gunderson,et al. Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction , 2015 .
[2] Sungwon Jung,et al. A Model for Predicting Energy Usage Pattern Types with Energy Consumption Information According to the Behaviors of Single-Person Households in South Korea , 2019, Sustainability.
[3] Halina Koczyk,et al. The influence of multifamily apartment building occupants on energy and water consumption – the preliminary results of monitoring and survey campaign , 2017 .
[4] Mario Orestes Aguirre González,et al. Sustainable development: Case study in the implementation of renewable energy in Brazil , 2017 .
[5] W. Pan,et al. A dialectical system framework of zero carbon emission building policy for high-rise high-density cities: Perspectives from Hong Kong , 2018, Journal of Cleaner Production.
[6] Yingxin Zhu,et al. A review of operating performance in green buildings: Energy use, indoor environmental quality and occupant satisfaction , 2019, Energy and Buildings.
[7] S. Poulopoulos,et al. Energy use and saving in residential sector and occupant behavior: A case study in Athens , 2018, Energy and Buildings.
[8] Michael E. Webber,et al. Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage , 2015 .
[9] Lukumon O. Oyedele,et al. A Case Study Investigation of Indoor Air Quality in UK Passivhaus Dwellings , 2014 .
[10] Holly Wasilowski Samuelson,et al. The impact of window opening and other occupant behavior on simulated energy performance in residence halls , 2017 .
[11] Nasrudin Abd Rahim,et al. An application of TPB constructs on energy-saving behavioural intention among university office building occupants: a pilot study in Malaysian tropical climate , 2019, Journal of Housing and the Built Environment.
[12] Bathing in Japan: Applying a practice theory vocabulary to energy use through ethnography , 2018, Energy Research & Social Science.
[13] Thomas Yarrow. Negotiating Heritage and Energy Conservation: An Ethnography of Domestic Renovation , 2016 .
[14] Alan R. Chandler,et al. Energy saving of the domestic housing stocks: application development as a plug-in for energy simulation software , 2017, Int. J. Parallel Emergent Distributed Syst..
[15] L. Giusti,et al. Impact of building characteristics and occupants’ behaviour on the electricity consumption of households in Abu Dhabi (UAE) , 2017 .
[16] F. Descamps,et al. A method for the identification and modelling of realistic domestic occupancy sequences for building energy demand simulations and peer comparison , 2014 .
[17] Eduardo L Krüger,et al. Identifying relationships between daylight variables and human preferences in a climate chamber. , 2018, The Science of the total environment.
[18] Danielle Symons Downs,et al. Elicitation studies and the theory of planned behavior: a systematic review of exercise beliefs , 2003 .
[19] Michael Schneider,et al. Tackling the interplay of occupants’ heating practices and building physics: Insights from a German mixed methods study , 2017 .
[20] Enedir Ghisi,et al. Decision-making process for improving thermal and energy performance of residential buildings: A case study of constructive systems in Brazil , 2016 .
[21] S. Safarova. Thermal Performance of 6 Star Rated Houses in the Hot and Humid Tropical Climate of Darwin , 2017 .
[22] Benjamin K. Sovacool,et al. Diversity: Energy studies need social science , 2014, Nature.
[23] Anna Puig,et al. From Cultural Probes Tasks to Gamified Virtual Energy Missions , 2017, BCS HCI.
[24] Alessandro Soro,et al. Cross-Cultural Dialogical Probes , 2016, AfriCHI.
[25] D. Yan,et al. Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys , 2019, Energy and Buildings.
[26] Rodolfo Valdes-Vasquez,et al. A Case Study on the Effect of Energy Efficient Design Features on Building Occupant’s Comfort Level , 2018 .
[27] Christopher Tweed,et al. Tools for low-energy building design: an exploratory study of the design process in action , 2016 .
[28] K. Agyekum,et al. Actions, attitudes and beliefs of occupants in managing dampness in buildings , 2019, International Journal of Building Pathology and Adaptation.
[29] Mark Goldsworthy. Towards a Residential Air-Conditioner Usage Model for Australia , 2017 .
[30] Tianzhen Hong,et al. Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings , 2017 .
[31] M. O. Oyewole,et al. Users’ preference for green features in office properties , 2018, Property Management.
[32] Hilton R. Simmet. “Lighting a dark continent”: Imaginaries of energy transition in Senegal , 2018, Energy Research & Social Science.
[33] Marc Delghust,et al. Regulatory energy calculations versus real energy use in high-performance houses , 2015 .
[34] Federica Naspi,et al. Investigation on window opening and closing behavior in schools through measurements and surveys: A case study in Budapest , 2018, Building and Environment.
[35] Husrul Nizam Husin,et al. Improving safety performance through post occupancy evaluations (POE): A study of Malaysian low-cost housing , 2017 .
[36] Enedir Ghisi,et al. Influence of user interaction with internal blinds on the energy efficiency of office buildings , 2018 .
[37] Burcin Becerik-Gerber,et al. One size does not fit all: Understanding user preferences for building automation systems , 2017 .
[38] Rebecca J. Yang,et al. Improving sustainability of residential homes: occupants motivation and behaviour , 2014 .
[39] Jennifer A. Veitch,et al. Effects of office environment on employee satisfaction: a new analysis , 2016 .
[40] Steve Sharples,et al. A longitudinal study of summertime occupant behaviour and thermal comfort in office buildings in northern China , 2018, Building and Environment.
[41] Chris Tweed,et al. Designers' enactment of the policy intentions. An ethnographic study of the adoption of energy regulations in England and Wales , 2014 .
[42] Fu-ren Lin,et al. Continued use of wearables for wellbeing with a cultural probe* , 2018, The Service Industries Journal.
[43] Cristina Carpino,et al. Energy consumption of residential buildings and occupancy profiles. A case study in Mediterranean climatic conditions , 2017 .
[44] Ruchi Choudhary,et al. OCCUPANCY BASED THERMAL ENERGY MODELLING IN THE URBAN RESIDENTIAL SECTOR , 2017 .
[45] Behzad Sodagar,et al. Understanding User Satisfaction Evaluation in Low Occupancy Sustainable Workplaces , 2017 .
[46] Jessica M. Smith,et al. Exploring the anthropology of energy: Ethnography, energy and ethics , 2017 .
[47] Ian Walker,et al. The effect of real-time context-aware feedback on occupants' heating behaviour and thermal adaptation , 2016 .
[48] Petra Adolfsson,et al. In the Eye of the Beholder: On Using Photography in Research on Sustainability , 2015 .
[49] Semiha Ergan,et al. Requirements of Integrated Design Teams While Evaluating Advanced Energy Retrofit Design Options in Immersive Virtual Environments , 2015 .
[50] Verena Marie Barthelmes,et al. Profiling Occupant Behaviour in Danish Dwellings using Time Use Survey Data - Part II: Time-related Factors and Occupancy , 2018 .
[52] Jan Kloppenborg Møller,et al. Hidden Markov Models for indirect classification of occupant behaviour , 2016 .
[53] Tianzhen Hong,et al. A critical review on questionnaire surveys in the field of energy-related occupant behaviour , 2018, Energy Efficiency.
[54] Richard de Dear,et al. Understanding patterns of adaptive comfort behaviour in the Sydney mixed-mode residential context , 2017 .
[55] Jing Lin,et al. Cross-cultural assessment of the effectiveness of eco-feedback in building energy conservation , 2017 .
[56] P. Gurian,et al. Tracking the human-building interaction: A longitudinal field study of occupant behavior in air-conditioned offices , 2015 .
[57] Hiroshi Yoshino,et al. IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods , 2017 .
[58] Z. Belafi,et al. Interdisciplinary survey to investigate energy-related occupant behavior in offices – the Hungarian case , 2018, Pollack Periodica.
[59] Marilena De Simone,et al. Application of survey on energy consumption and occupancy in residential buildings. An experience in Southern Italy , 2018, Energy Procedia.
[60] Tianzhen Hong,et al. Human-building interaction at work: Findings from an interdisciplinary cross-country survey in Italy , 2018, Building and Environment.
[61] Julia K. Day,et al. Oh behave! Survey stories and lessons learned from building occupants in high-performance buildings , 2017 .
[62] Joohyung Lee,et al. Analysis of human factors in a building environmental assessment system in Korea: Resident perception and the G-SEED for MF scores , 2018, Building and Environment.
[63] Tadj Oreszczyn,et al. Understanding energy demand in Kuwaiti villas: Findings from a quantitative household survey , 2018 .
[64] Sam Hampton. Policy implementation as practice? Using social practice theory to examine multi-level governance efforts to decarbonise transport in the United Kingdom , 2018 .
[65] Keith A. Jones,et al. Energy-saving occupant behaviours in offices: change strategies , 2017 .
[66] Bjarne W. Olesen,et al. Influence of heat cost allocation on occupants' control of indoor environment in 56 apartments: Studied with measurements, interviews and questionnaires , 2016 .
[67] David Coyle,et al. Privacy, boundaries and smart homes for health: An ethnographic study , 2018, Health & place.
[68] Donald R. Cooper,et al. Business Research Methods , 1980 .
[69] Casper Boks,et al. Burning for sustainable behaviour , 2016 .
[70] Nila Keumala,et al. Energy saving potential and visual comfort of task light usage for offices in Malaysia , 2017 .
[71] Tianzhen Hong,et al. Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary , 2017 .
[72] Giambattista Gruosso,et al. A time-of-use-based residential electricity demand model for smart grid applications , 2016, 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).
[73] Chuang Wang,et al. A preliminary research on the derivation of typical occupant behavior based on large-scale questionnaire surveys , 2016 .
[74] I. Papazu. Storifying Samsø’s Renewable Energy Transition , 2018 .
[75] C. Littleford,et al. Saving energy with a better indoor environment , 2017, Running Buildings on Natural Energy.
[76] A. Bennadji,et al. Analysis of indoor climate and occupants' behaviour in traditional Scottish dwellings. , 2015 .
[77] Chen-Peng Chen,et al. Effect of fee-for-service air-conditioning management in balancing thermal comfort and energy usage , 2014, International Journal of Biometeorology.
[78] T. Oreszczyn,et al. Empirical and modelled energy performance in Kuwaiti villas: Understanding the social and physical factors that influence energy use , 2019, Energy and Buildings.
[79] Tianzhen Hong,et al. Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .
[80] Andong Wang,et al. Development of a data driven approach to explore the energy flexibility potential of building clusters , 2018, Applied Energy.
[81] Bryan Buchholz,et al. Does drywall installers' innovative idea reduce the ergonomic exposures of ceiling installation: A field case study. , 2016, Applied ergonomics.
[82] D. Horst,et al. Types of learning identified in reflective energy diaries of post-graduate students , 2018 .
[83] Martine Buser,et al. Implementing sustainable facility management , 2019, Facilities.
[84] Anand Patwardhan,et al. Consumer preference for labels in the purchase decisions of air conditioners in India , 2018 .
[85] Laura Sebastia,et al. Preference elicitation techniques for group recommender systems , 2012, Inf. Sci..
[86] Odeta Manahasa,et al. Do architects’ and users’ reality coincide? A post occupancy evaluation in a university lecture hall , 2016 .
[87] Olatz Irulegi,et al. Retrofit strategies towards Net Zero Energy Educational Buildings: A case study at the University of the Basque Country , 2017 .
[88] Suzanne Wilkinson,et al. Strategies for improving energy saving behaviour in commercial buildings in Malaysia , 2015 .
[89] Franziska Engels,et al. From “living lab” to strategic action field: Bringing together energy, mobility, and Information Technology in Germany , 2017 .
[90] Hiroshi Yoshino,et al. Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies , 2015 .
[91] Maria Teresa Moreira,et al. Gamestorming for the Conceptual Design of Products and Processes in the context of engineering education , 2018 .
[92] Marilena De Simone,et al. On the use of questionnaire in residential buildings. A review of collected data, methodologies and objectives , 2019, Energy and Buildings.
[93] Hannele Kerosuo,et al. Knotworking and the visibilization of learning in building design , 2015 .
[94] Robin Wilson,et al. Development of experimental methods for quantifying the human response to chromatic glazing , 2019, Building and Environment.
[95] Zhubai Zhang,et al. The effect of library indoor environments on occupant satisfaction and performance in Chinese universities using SEMs , 2019, Building and Environment.
[96] Ranald Lawrence,et al. Evaluation of the thermal performance of an industrialised housing construction system in a warm-temperate climate: Morelia, Mexico , 2016 .
[97] David Coyle,et al. Empirically derived user attributes for the design of home healthcare technologies , 2015, Personal and Ubiquitous Computing.
[98] Ardalan Khosrowpour,et al. A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation , 2018 .
[99] Stephanie Gauthier,et al. Investigating the probability of behavioural responses to cold thermal discomfort , 2016 .
[100] Craig Robertson,et al. Exploring Energy Modelling in Architecture Logics of Investment and Risk , 2017 .
[101] Tianzhen Hong,et al. An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema , 2015 .
[102] Marcel Schweiker,et al. On uses of energy in buildings : Extracting influencing factors of occupant behaviour by means of a questionnaire survey , 2018 .
[103] V. Soebarto,et al. The Living Environment and Thermal Behaviours of Older South Australians: A Multi-Focus Group Study , 2019, International journal of environmental research and public health.
[104] J. Brusey,et al. Developing a design framework to facilitate adaptive behaviours , 2018, Energy and Buildings.
[105] Abbas Elmualim,et al. Identifying behavioural predictors of small power electricity consumption in office buildings , 2015 .
[106] Yongjun Sun,et al. Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation , 2017 .
[107] Craig Brown,et al. The power of qualitative data in post-occupancy evaluations of residential high-rise buildings , 2016 .
[108] Tianzhen Hong,et al. An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework , 2015 .
[109] Mohamed Sukri Mat Ali,et al. Thermal comfort and occupant adaptive behaviour in Japanese university buildings with free running and cooling mode offices during summer , 2016 .
[110] Jyotirmay Mathur,et al. Thermal comfort assessment and characteristics of occupant's behaviour in naturally ventilated buildings in composite climate of India , 2016 .
[111] Da Yan,et al. Urban residential heating in hot summer and cold winter zones of China—Status, modeling, and scenarios to 2030 , 2016 .
[112] Sam Hampton. An ethnography of energy demand and working from home: Exploring the affective dimensions of social practice in the United Kingdom , 2017 .
[113] Umberto Berardi,et al. A post occupancy evaluation framework for LEED certified U.S. higher education residence halls , 2015 .
[114] Peter G. Taylor,et al. Performance gap analysis case study of a non-domestic building , 2016 .
[115] Jean-Marie Hauglustaine,et al. Introduction of Behavioral Parameterization in the EPC Calculation Method and Assessment of Five Typical Urban Houses in Wallonia, Belgium , 2016 .
[116] D. Dillman,et al. International handbook of survey methodology. , 2008 .
[117] Steve Goodhew,et al. Mental models: Exploring how people think about heat flows in the home , 2017 .
[118] S. Greenfield,et al. Testing messages to promote stair climbing at work , 2015 .
[119] Carol C. Menassa,et al. Understanding energy-saving behaviors in the American workplace: A unified theory of motivation, opportunity, and ability , 2019, Energy Research & Social Science.
[120] A. Mavrogianni,et al. Estimating the Influence of Housing Energy Efficiency and Overheating Adaptations on Heat-Related Mortality in the West Midlands, UK , 2018 .
[121] Marilena De Simone,et al. Behavioral and Physical Factors Influencing Energy Building Performances in Mediterranean Climate , 2015 .
[122] Craig Brown,et al. Assessing occupant satisfaction and energy behaviours in Toronto’s LEED gold high-rise residential buildings , 2014 .
[123] Kirsten Gram-Hanssen,et al. How building design and technologies influence heat-related habits , 2018 .
[124] Xiaofeng Li,et al. Preliminary study on heating energy consumption distribution of dwellings in hot summer and cold winter climate region of China , 2018, Indoor and Built Environment.
[125] P. James,et al. Developing English domestic occupancy profiles , 2019 .
[126] William O'Brien,et al. Field study of thermal comfort and occupant satisfaction in Canadian condominiums , 2017 .
[127] Kaiyu Sun,et al. A novel stochastic modeling method to simulate cooling loads in residential districts , 2017 .
[128] B. Dong,et al. A survey on energy consumption and energy usage behavior of households and residential building in urban China , 2017 .
[129] Ian Beausoleil-Morrison,et al. Modeling plug-in equipment load patterns in private office spaces , 2016 .
[130] Yanna Gao,et al. Questionnaire survey on the summer air-conditioning use behaviour of occupants in residences and office buildings of China , 2018, Indoor and Built Environment.
[131] Peng Xue,et al. The effects of daylighting and human behavior on luminous comfort in residential buildings: A questionnaire survey , 2014 .
[132] Liu Yang,et al. Analysis of behaviour patterns and thermal responses to a hot-arid climate in rural China. , 2016, Journal of thermal biology.
[133] Wolfgang Feist,et al. Applying the passive house concept to a social housing project in Austria – evaluation of the indoor environment based on long-term measurements and user surveys , 2016 .
[134] W Wim Zeiler,et al. Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands , 2017 .
[135] David Coley,et al. Designing sensor sets for capturing energy events in buildings , 2016 .
[136] Josh Wall,et al. Trial results from a model predictive control and optimisation system for commercial building HVAC , 2014 .
[137] Lukumon O. Oyedele,et al. Case study investigation of indoor air quality in mechanically ventilated and naturally ventilated UK social housing , 2015 .
[138] A. Mahdavi,et al. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings , 2017 .
[139] Ian Chai,et al. A Controlled Experiment on Requirements Elicitation in Electronic Markets , 2017, IC4E '17.
[140] A. Hedge,et al. Re-evaluation of a LEED Platinum Building: Occupant experiences of health and comfort. , 2017, Work.
[141] Derek Sinnott. Dwelling airtightness: A socio-technical evaluation in an Irish context , 2016 .
[142] Hom B. Rijal,et al. An Investigation of the Behavioral Characteristics of Higher- and Lower-Temperature Group Families in a Condominium Equipped with a HEMS System , 2018, Buildings.
[143] Faye Wade,et al. Influencing the central heating technologies installed in homes: the role of social capital in supply chain networks , 2016 .
[144] Rajat Gupta,et al. Evaluating the influence of building fabric, services and occupant related factors on the actual performance of low energy social housing dwellings in UK , 2018, Energy and Buildings.
[145] Nuno M.M. Ramos,et al. Airtightness and ventilation in a mild climate country rehabilitated social housing buildings – What users want and what they get , 2015 .
[146] Mohammad A. Hassanain,et al. Post occupancy evaluation of a flexible workplace facility in Saudi Arabia , 2018 .
[147] Stephanie Gauthier,et al. Behavioural responses to cold thermal discomfort , 2015 .
[148] Jacques Teller,et al. RELATION BETWEEN INDOOR THERMAL ENVIRONMENT AND RENOVATION IN LIEGE RESIDENTIAL BUILDINGS , 2014 .
[149] Brian M Deal,et al. Effective or ephemeral? the role of energy information dashboards in changing occupant energy behaviors , 2016 .
[150] Shady Attia,et al. Current trends and future challenges in the performance assessment of adaptive façade systems , 2018, Energy and Buildings.
[151] Roberto Lamberts,et al. Technological innovations to assess and include the human dimension in the building-performance loop: A review , 2019, Energy and Buildings.
[152] Mohammed Arif,et al. Occupant productivity and indoor environment quality: A case of GSAS , 2017 .
[153] Tripp Shealy,et al. Aligning Rating Systems and User Preferences: An Initial Approach to More Sustainable Construction through a Behavioral Intervention , 2018 .
[154] Ana S. Mestre,et al. Daily electricity consumption profiles from smart meters - Proxies of behavior for space heating and cooling , 2017 .
[155] Stephen Pretlove,et al. Post occupancy evaluation of social housing designed and built to Code for Sustainable Homes levels 3, 4 and 5 , 2016 .
[156] Behzad Sodagar,et al. The monitored performance of four social houses certified to the Code for Sustainable Homes Level 5 , 2016 .
[157] Heather L. MacLean,et al. Expert assessments of emerging oil sands technologies , 2017 .
[158] Nora El-Gohary,et al. Energy-related values and satisfaction levels of residential and office building occupants , 2016 .
[159] Ibrahim Sipan,et al. POST OCCUPANCY EVALUATION OF PHYSICAL ENVIRONMENT IN PUBLIC LOW-COST HOUSING , 2015 .
[160] Alexandra Lorenz,et al. Exploring the orientation in space: mixing focused ethnography and surveys in social experiment , 2014 .
[161] Karin Engvall,et al. Interaction between building design, management, household and individual factors in relation to energy use for space heating in apartment buildings , 2014 .
[162] Francesca Stazi,et al. Experimental study on occupants' interaction with windows and lights in Mediterranean offices during the non-heating season , 2018 .
[163] Faris Ali Mustafa,et al. Performance assessment of buildings via post-occupancy evaluation: A case study of the building of the architecture and software engineering departments in Salahaddin University-Erbil, Iraq , 2017 .
[164] Laure Itard,et al. In-situ and real time measurements of thermal comfort and its determinants in thirty residential dwellings in the Netherlands , 2017, Architecture and the Built Environment.
[165] A. K. Mishra,et al. A thermal comfort field study of naturally ventilated classrooms in Kharagpur, India , 2015 .
[166] Stefano Paolo Corgnati,et al. Insights on pro-environmental behavior towards post-carbon society , 2017 .
[167] C. Maller,et al. Housing renovations and energy efficiency: insights from homeowners’ practices , 2014 .
[168] Fowler,et al. Survey research methods, 2nd ed. , 2009 .
[169] Hasim Altan,et al. Adoption of Energy Design Strategies for Retrofitting Mass Housing Estates in Northern Cyprus , 2017 .
[170] Koen Steemers,et al. Household archetypes and behavioural patterns in UK domestic energy use , 2018 .
[171] Seok-Won Lee,et al. REASSURE: Requirements elicitation for adaptive socio-technical systems using repertory grid , 2017, Inf. Softw. Technol..
[172] Francesca Stazi,et al. A literature review on driving factors and contextual events influencing occupants' behaviours in buildings , 2017 .
[173] Mateja Dovjak,et al. Indoor environmental quality in relation to socioeconomic indicators in Slovenian households , 2019, Journal of Housing and the Built Environment.
[174] Kees Dorst,et al. The core of ‘design thinking’ and its application , 2011 .
[175] Bahram Moshfegh,et al. Integration of Measurements and Time Diaries as Complementary Measures to Improve Resolution of BES , 2019 .
[176] Junseok Park,et al. Modeling occupant behavior of the manual control of windows in residential buildings , 2019, Indoor air.
[177] Juan J. Sendra,et al. Energy and climate simulation in the Upper Lawn Pavilion, an experimental laboratory in the architecture of the Smithsons , 2015 .
[178] Zhengen Ren,et al. Evaluation of a whole-house energy simulation tool against measured data , 2018, Energy and Buildings.
[179] Kristian Fabbri,et al. How to use online surveys to understand human behaviour concerning window opening in terms of building energy performance , 2016 .
[180] Gail Brager,et al. Post-occupancy evaluation: State-of-the-art analysis and state-of-the-practice review , 2018 .
[181] Kwonsik Song,et al. Longitudinal Analysis of Normative Energy Use Feedback on Dormitory Occupants , 2015 .
[182] Carolina Hiller,et al. Factors influencing residents’ energy use—A study of energy-related behaviour in 57 Swedish homes , 2015 .
[183] Paul Hanna,et al. Social housing retrofit strategies in England and France: A parametric and behavioural analysis , 2015 .
[184] P. James,et al. The influence of a student’s ‘home’ climate on room temperature and indoor environmental controls use in a modern halls of residence , 2016 .
[185] Heng Zhang,et al. Demand-Oriented Design Strategies for Low Environmental Impact Housing in the Tropics , 2017 .
[186] Theocharis Tsoutsos,et al. Energy saving and thermal comfort interventions based on occupants’ needs: A students’ residence building case , 2018, Energy and Buildings.
[187] A. Löschel,et al. Pro-environmental Households and Energy Efficiency in Spain , 2015 .
[188] Adam K. Fontecchio,et al. STEAM approach by integrating the arts and STEM through origami in K-12 , 2016, 2016 IEEE Frontiers in Education Conference (FIE).
[189] Pedro Faustino,et al. Integrated approach for school buildings rehabilitation in a Portuguese city and analysis of suitable third party financing solutions in EU , 2015 .
[190] Bin Cao,et al. Human metabolic rate and thermal comfort in buildings: The problem and challenge , 2018 .
[191] T. Yarrow. How conservation matters: Ethnographic explorations of historic building renovation , 2019 .
[192] Gabriela Zapata-Poveda,et al. Official and informal tools to embed performance in the design of low carbon buildings. An ethnographic study in England and Wales , 2014 .
[193] Donal Finn,et al. Clustering of household occupancy profiles for archetype building models , 2017 .
[194] Paul Gerard Tuohy,et al. The energy and indoor environmental performance of Egyptian offices: parameter analysis and future policy , 2018 .
[195] Kenneth N. Brown,et al. Preference Elicitation and Reasoning While Smart Shifting of Home Appliances , 2015 .
[196] Yingjun Ruan,et al. The role of occupant behavior in low carbon oriented residential community planning: A case study in Qingdao , 2017 .
[197] A. A. Sharif. Users as co-designers: Visual–spatial experiences at Whitworth Art Gallery , 2020 .
[198] T. Konstantinou,et al. Designing for residents: Building monitoring and co-creation in social housing renovation in the Netherlands , 2017 .
[199] Alejandro Vásquez-Hernández,et al. Evaluation of buildings in real conditions of use: Current situation , 2017 .
[200] Lucia Martincigh,et al. The occupants’ perspective as catalyst for less energy intensive buildings , 2016 .
[201] R. Wener,et al. Distinguishing between green building occupants’ reasoned and unplanned behaviours , 2016 .
[202] Stephen Dorton,et al. Going Digital: Consequences of Increasing Resolution of a Wargaming Tool for Knowledge Elicitation , 2017 .
[203] Stacia S. Ryder. Developing an intersectionally-informed, multi-sited, critical policy ethnography to examine power and procedural justice in multiscalar energy and climate change decisionmaking processes , 2018, Energy Research & Social Science.
[204] Andreas Wagner,et al. Exploring occupant behavior in buildings: Methods and challenges , 2018 .
[205] Zhonghua Gou,et al. An Investigation of Thermal Comfort and Adaptive Behaviors in Naturally Ventilated Residential Buildings in Tropical Climates: A Pilot Study , 2018 .
[206] Rowena Hay,et al. Post-occupancy evaluation in architecture: experiences and perspectives from UK practice , 2018 .
[207] Chuang Wang,et al. Air-conditioning usage conditional probability model for residential buildings , 2014 .
[208] S. Sharples,et al. Thermal comfort, occupant control behaviour and performance gap – A study of office buildings in north-east China using data mining , 2019, Building and Environment.
[209] V. Haines,et al. End user engagement with domestic hot water heating systems: Design implications for future thermal storage technologies , 2019, Energy Research & Social Science.
[210] Ehsan Mostavi,et al. User satisfaction and energy use behavior in offices in Qatar , 2018 .
[211] Djamel Boussaa,et al. Comfort temperature and occupant adaptive behavior in offices in Qatar during summer , 2017 .
[212] Carl K. Chang,et al. A Situation-Centric Approach to Identifying New User Intentions Using the MTL Method , 2017, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC).
[213] Marcella Ucci,et al. Behaviour change potential for energy saving in non-domestic buildings: Development and pilot-testing of a benchmarking tool , 2014 .
[214] Tianzhen Hong,et al. The human dimensions of energy use in buildings: A review , 2018 .
[215] Michael C. Dorneich,et al. Using Human Factors to Establish Occupant Task Lists for Office Building Simulations , 2016 .