2018
DOI: 10.1016/j.enbuild.2018.06.049
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A review of occupant behaviour in residential buildings

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Cited by 137 publications
(60 citation statements)
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“…Finally, the energy consumptions trend, in terms of time series and frequency, hailing from different occupants' habits along with the definition of potential strategy for improving the building energy performance, was the object of several works published in the last two years [32][33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the energy consumptions trend, in terms of time series and frequency, hailing from different occupants' habits along with the definition of potential strategy for improving the building energy performance, was the object of several works published in the last two years [32][33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%
“…In reality, great challenges exist in the choice of representative OB due to both the homogeneity and heterogeneity that is observed in OB. Energy efficiency and energy consumption gaps commonly occur between 9 expectation and actual situations when OB is represented improperly (i.e., when the assumption of OB differs from OB in the real world). In contrast, a proper OB selection close to reality typically leads to suitable building envelope and optimized systems' performances.…”
Section: Discussionmentioning
confidence: 99%
“…Historically, the occupant behavior related parameters were simplified and considered as a boundary condition like weather, instead of active participants in the buildings [7]. Nowadays, occupant behavior in buildings has drawn a surge of research attention, because more proofs were identified that energy use in buildings is closely linked to occupant presence, movement and interaction with building energy devices and systems [8][9][10].…”
Section: Aim and Scopementioning
confidence: 99%
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“…Access to spatiotemporally finely resolved occupancy information is necessary for occupant-driven controls and challenging due to occupant stochastic behavior [37]. Sensing technologies are improving to provide information about the temporal and spatial resolutions of occupancy and the knowledge about the occupant behavior [38]. A wide range of algorithmic approaches have been investigated and are currently refined for the purpose of improving the accuracy of building occupancy detection [39].…”
Section: Control Strategiesmentioning
confidence: 99%