Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data with Varying Extent of Completeness

Wim van der Ham; Michel Klein; Seyed Amin Tabatabaei; Dilhan 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 with Varying Extent of Completeness

Wim van der Ham, Michel Klein, Seyed Amin Tabatabaei, Dilhan Thilakarathne, Jan Treur

Research output: Contribution to Journal › Article › Academic › peer-review

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
Publication status	Published - Sept 2016
Event	International Conference on Environmental and Climate Technologies, CONECT'15 - Duration: 1 Jan 2015 → 1 Jan 2015

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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

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.",

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note = "International Conference on Environmental and Climate Technologies, CONECT'15 ; Conference date: 01-01-2015 Through 01-01-2015",

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

AU - van der Ham, Wim

AU - Klein, Michel

AU - Tabatabaei, Seyed Amin

AU - Thilakarathne, Dilhan

AU - Treur, Jan

PY - 2016/9

Y1 - 2016/9

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

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T2 - International Conference on Environmental and Climate Technologies, CONECT'15

Y2 - 1 January 2015 through 1 January 2015

ER -

Methods for a Smart Thermostat to Estimate the Characteristics of a House Based on Sensor Data with Varying Extent of Completeness

Abstract

Keywords

UN SDGs

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