2013
DOI: 10.1016/j.enbuild.2012.09.005
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Energy intelligent buildings based on user activity: A survey

Abstract: a b s t r a c tOccupant presence and behaviour in buildings has been shown to have large impact on heating, cooling and ventilation demand, energy consumption of lighting and appliances, and building controls. Energyunaware behaviour can add one-third to a building's designed energy performance. Consequently, user activity and behaviour is considered as a key element and has long been used for control of various devices such as artificial light, heating, ventilation, and air conditioning. However, how are user… Show more

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Cited by 580 publications
(302 citation statements)
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“…Various studies have used data science techniques to show that energy needs vary, depending on the activities of the building occupants [2,3]. Consequently, a more cost-effective management of the energy load based on user behavior could result in a high percentage of savings [30].…”
Section: Prediction Of Building Energy Loadmentioning
confidence: 99%
See 1 more Smart Citation
“…Various studies have used data science techniques to show that energy needs vary, depending on the activities of the building occupants [2,3]. Consequently, a more cost-effective management of the energy load based on user behavior could result in a high percentage of savings [30].…”
Section: Prediction Of Building Energy Loadmentioning
confidence: 99%
“…weather, energy costs, etc.). These advances have also signified a shift in the perception of who owns these data and who benefits from them [3]. Customers are increasingly aware of the importance of their actions and the value of the data that they generate.…”
Section: Introductionmentioning
confidence: 99%
“…‱ (REFFPP05): The habits of employees or residents will be recorded (without violating personal data and respecting GDPR [37]) by the electronic web management system at each individual workplace in order to be conducted immediate optimization of energy consumption [38] [39] [40]. Also, there will be the possibility of reduced and personalized energy consumption depending on the preferences of each employee in his/her private workplace, and provided that the consumption will not exceed predetermined maximum power levels [39] [40].…”
Section: Key Protocol Points Of Reduced Ecological Footprints Of Facimentioning
confidence: 99%
“…On the demand side, it has direct impact on customers' energy bills and their trust on the still nascent smart grid technology. It can also provide important information for domotics [17,26]. On the energy supply side, inaccurate load data may lead to large profit losses and wrong business decisions.…”
Section: Introductionmentioning
confidence: 99%