Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data

Wim Van Der Ham; Michel Klein; Seyed Amin Tabatabaei; Dilhan J. Thilakarathne; Jan Treur

doi:10.1016/j.egypro.2016.09.067

Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data

Wim Van Der Ham, Michel Klein, Seyed Amin Tabatabaei, Dilhan J. Thilakarathne, Jan Treur

Research output: Contribution to journal › Conference article › peer-review

17 Scopus citations

Abstract

Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus indoor and outdoor temperatures over time. Two methods are presented that enable the smart thermostat to learn, over time, characteristics of the house such as heat loss rate and heat capacity. Through this, the thermostat can make some homeowners aware, for example, that there is room for improvement in insulation of the house. The presented methods are able to deal with sensor data with varying extents of imperfection concerning their completeness.

Original language	English
Pages (from-to)	467-474
Number of pages	8
Journal	Energy Procedia
Volume	95
DOIs	https://doi.org/10.1016/j.egypro.2016.09.067
State	Published - 2016
Externally published	Yes
Event	International Scientific Conference Environmental and Climate Technologies, CONECT 2015 - Riga, Latvia Duration: Oct 14 2015 → Oct 16 2015

Keywords

cooling down rate
heat capacity
heat loss rate
heating degree days
smart thermostat

Access to Document

10.1016/j.egypro.2016.09.067

Cite this

@article{fa4b1a27d5e6494d97799397e640b2f7,

title = "Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data",

abstract = "Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus indoor and outdoor temperatures over time. Two methods are presented that enable the smart thermostat to learn, over time, characteristics of the house such as heat loss rate and heat capacity. Through this, the thermostat can make some homeowners aware, for example, that there is room for improvement in insulation of the house. The presented methods are able to deal with sensor data with varying extents of imperfection concerning their completeness.",

keywords = "cooling down rate, heat capacity, heat loss rate, heating degree days, smart thermostat",

author = "{Van Der Ham}, Wim and Michel Klein and Tabatabaei, {Seyed Amin} and Thilakarathne, {Dilhan J.} and Jan Treur",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; International Scientific Conference Environmental and Climate Technologies, CONECT 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

year = "2016",

doi = "10.1016/j.egypro.2016.09.067",

language = "Ingl{\'e}s",

volume = "95",

pages = "467--474",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data

AU - Van Der Ham, Wim

AU - Klein, Michel

AU - Tabatabaei, Seyed Amin

AU - Thilakarathne, Dilhan J.

AU - Treur, Jan

PY - 2016

Y1 - 2016

N2 - Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus indoor and outdoor temperatures over time. Two methods are presented that enable the smart thermostat to learn, over time, characteristics of the house such as heat loss rate and heat capacity. Through this, the thermostat can make some homeowners aware, for example, that there is room for improvement in insulation of the house. The presented methods are able to deal with sensor data with varying extents of imperfection concerning their completeness.

AB - Smart thermostats can play an important role in achieving more economic energy usage in domestic situations. This paper focuses on the energy used for natural gas-based heating, and monitoring of gas usages versus indoor and outdoor temperatures over time. Two methods are presented that enable the smart thermostat to learn, over time, characteristics of the house such as heat loss rate and heat capacity. Through this, the thermostat can make some homeowners aware, for example, that there is room for improvement in insulation of the house. The presented methods are able to deal with sensor data with varying extents of imperfection concerning their completeness.

KW - cooling down rate

KW - heat capacity

KW - heat loss rate

KW - heating degree days

KW - smart thermostat

UR - http://www.scopus.com/inward/record.url?scp=84999098909&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2016.09.067

DO - 10.1016/j.egypro.2016.09.067

M3 - Artículo de la conferencia

AN - SCOPUS:84999098909

SN - 1876-6102

VL - 95

SP - 467

EP - 474

JO - Energy Procedia

JF - Energy Procedia

T2 - International Scientific Conference Environmental and Climate Technologies, CONECT 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this