Journal article
A Stochastic Model for Residential User Activity Simulation
Sustainability, Department of Technology, Management and Economics, Technical University of Denmark1
Energy Systems Analysis, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark2
Department of Technology, Management and Economics, Technical University of Denmark3
University of Portsmouth4
Energy and Services, Department of Civil Engineering, Technical University of Denmark5
Department of Civil Engineering, Technical University of Denmark6
CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark7
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.
| Language: | English |
|---|---|
| Publisher: | MDPI AG |
| Year: | 2019 |
| Pages: | 3326 |
| ISSN: | 19961073 |
| Types: | Journal article |
| DOI: | 10.3390/en12173326 |
| ORCIDs: | Liu, Xiufeng , Li, Rongling and Nielsen, Per Sieverts |
Activities SDG 7 - Affordable and Clean Energy Simulation Stochastic model Time use survey data
T Technology activities simulation stochastic model time use survey data
