A Stochastic Model for Residential User Activity Simulation

Xiufeng Liu, Yanyan Yang, Rongling Li and Per Sieverts Nielsen
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Xiufeng Liu: Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Yanyan Yang: School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK
Rongling Li: Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Per Sieverts Nielsen: Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark

Energies, 2019, vol. 12, issue 17, 1-17

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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