2019
DOI: 10.1007/s12053-019-09797-9
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Residential retrofits at scale: opportunity identification, saving estimation, and personalized messaging based on communicating thermostat data

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Cited by 7 publications
(3 citation statements)
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“…However, because Cr includes the heat capacitance of the internal air as well as the furniture, carpets and other household contents and internal surfaces and structure, 3 its calculation is not straightforward. Although some semi-empirical formulas are available in the literature (e.g., Berthou 2013), our experimental results do not support them (Zeifman, Lazrak, and Roth 2018).…”
Section: Restricted Grey-box Model With Infiltration and The "Static"...contrasting
confidence: 86%
“…However, because Cr includes the heat capacitance of the internal air as well as the furniture, carpets and other household contents and internal surfaces and structure, 3 its calculation is not straightforward. Although some semi-empirical formulas are available in the literature (e.g., Berthou 2013), our experimental results do not support them (Zeifman, Lazrak, and Roth 2018).…”
Section: Restricted Grey-box Model With Infiltration and The "Static"...contrasting
confidence: 86%
“…available from the home automation systems and smart meters) has raised a special attention [31]. Thus, numerous studies have aimed at using such data in combination with a variety of models and approaches [32][33][34][35][36][37][38][39][40][41][42] to extract buildings' thermo-physical characteristics such as the heat loss coefficient [31,[43][44][45][46][47] and to predict the energy demand. Of the main challenges faced in this category of studies is the use of real data [48] from occupied residential houses.…”
Section: State-of-the-artmentioning
confidence: 99%
“…The validity of the model led to a second study [42] where a 2R2C model was used in combination with an electrical heater to identify the same parameters this time for appliances and for the thermal (building) model. Zeifman et al [39] used a second order model rather than a first order one to additionally separate the infiltrative heat loss from the conductive part. The circumstance of "which model works better" is case-specific and depends on the type and operation of the buildings.…”
Section: Inverse Modelling At Building Levelmentioning
confidence: 99%