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Article

A Stochastic Model for Residential User Activity Simulation

1
Department of Management Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
2
School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK
3
Department of Civil Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
*
Author to whom correspondence should be addressed.
Energies 2019, 12(17), 3326; https://doi.org/10.3390/en12173326
Received: 23 July 2019 / Revised: 21 August 2019 / Accepted: 26 August 2019 / Published: 28 August 2019
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. View Full-Text
Keywords: activities; stochastic model; time use survey data; simulation activities; stochastic model; time use survey data; simulation
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MDPI and ACS Style

Liu, X.; Yang, Y.; Li, R.; Sieverts Nielsen, P. A Stochastic Model for Residential User Activity Simulation. Energies 2019, 12, 3326. https://doi.org/10.3390/en12173326

AMA Style

Liu X, Yang Y, Li R, Sieverts Nielsen P. A Stochastic Model for Residential User Activity Simulation. Energies. 2019; 12(17):3326. https://doi.org/10.3390/en12173326

Chicago/Turabian Style

Liu, Xiufeng, Yanyan Yang, Rongling Li, and Per Sieverts Nielsen. 2019. "A Stochastic Model for Residential User Activity Simulation" Energies 12, no. 17: 3326. https://doi.org/10.3390/en12173326

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