A Stochastic Model for Residential User Activity Simulation

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Abstract

User activities is an important input to energy modelling, simulation and performance studies of residential buildings. However, it is often difficult to obtain detailed data on user activities and related energy consumption data. This paper presents a stochastic model based on Markov chain to simulate user activities of the households with one or more family members, and formalizes the simulation processes under different conditions. A data generator is implemented to create fine-grained activity sequences that require only a small sample of time-use survey data as a seed. This paper evaluates the data generator by comparing the generated synthetic data with real data, and comparing other related work. The results show the effectiveness of the proposed modelling approach and the efficiency of generating realistic residential user activities.
Original languageEnglish
Article number3326
JournalEnergies
Volume12
Issue number17
ISSN1996-1073
DOIs
Publication statusPublished - 2019

Keywords

  • Activities
  • Stochastic model
  • Time use survey data
  • Simulation

Cite this

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title = "A Stochastic Model for Residential User Activity Simulation",
abstract = "User activities is an important input to energy modelling, simulation and performance studies of residential buildings. However, it is often difficult to obtain detailed data on user activities and related energy consumption data. This paper presents a stochastic model based on Markov chain to simulate user activities of the households with one or more family members, and formalizes the simulation processes under different conditions. A data generator is implemented to create fine-grained activity sequences that require only a small sample of time-use survey data as a seed. This paper evaluates the data generator by comparing the generated synthetic data with real data, and comparing other related work. The results show the effectiveness of the proposed modelling approach and the efficiency of generating realistic residential user activities.",
keywords = "Activities, Stochastic model, Time use survey data, Simulation",
author = "Xiufeng Liu and Yanyan Yang and Rongling Li and Nielsen, {Per Sieverts}",
year = "2019",
doi = "10.3390/en12173326",
language = "English",
volume = "12",
journal = "Energies",
issn = "1996-1073",
publisher = "M D P I AG",
number = "17",

}

A Stochastic Model for Residential User Activity Simulation. / Liu, Xiufeng; Yang , Yanyan; Li, Rongling; Nielsen, Per Sieverts.

In: Energies, Vol. 12, No. 17, 3326, 2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A Stochastic Model for Residential User Activity Simulation

AU - Liu, Xiufeng

AU - Yang , Yanyan

AU - Li, Rongling

AU - Nielsen, Per Sieverts

PY - 2019

Y1 - 2019

N2 - User activities is an important input to energy modelling, simulation and performance studies of residential buildings. However, it is often difficult to obtain detailed data on user activities and related energy consumption data. This paper presents a stochastic model based on Markov chain to simulate user activities of the households with one or more family members, and formalizes the simulation processes under different conditions. A data generator is implemented to create fine-grained activity sequences that require only a small sample of time-use survey data as a seed. This paper evaluates the data generator by comparing the generated synthetic data with real data, and comparing other related work. The results show the effectiveness of the proposed modelling approach and the efficiency of generating realistic residential user activities.

AB - User activities is an important input to energy modelling, simulation and performance studies of residential buildings. However, it is often difficult to obtain detailed data on user activities and related energy consumption data. This paper presents a stochastic model based on Markov chain to simulate user activities of the households with one or more family members, and formalizes the simulation processes under different conditions. A data generator is implemented to create fine-grained activity sequences that require only a small sample of time-use survey data as a seed. This paper evaluates the data generator by comparing the generated synthetic data with real data, and comparing other related work. The results show the effectiveness of the proposed modelling approach and the efficiency of generating realistic residential user activities.

KW - Activities

KW - Stochastic model

KW - Time use survey data

KW - Simulation

U2 - 10.3390/en12173326

DO - 10.3390/en12173326

M3 - Journal article

VL - 12

JO - Energies

JF - Energies

SN - 1996-1073

IS - 17

M1 - 3326

ER -