Occupant behaviour modelling in domestic buildings: the case of household electrical appliances
Selin Yilmaz
Steven Firth
David Allinson
2134/24137
https://repository.lboro.ac.uk/articles/journal_contribution/Occupant_behaviour_modelling_in_domestic_buildings_the_case_of_household_electrical_appliances/9439703
This paper presents a new approach to bottom-up stochastic occupant behaviour modelling for predicting the use of household electrical appliances in domestic buildings. Three metrics relating to appliance occupant behaviours are defined: the number of switch-on events per day, the switch-on times, and the duration of each appliance usage. The metrics were calculated for 1,076 appliances in 225 households from the UK Government’s Household Electricity Survey carried out in 2010-2011. The analysis shows that occupant behaviour varies substantially between households, across appliance types and over time. The new modelling approach improves on previous approaches by using a three step process where the three appliance occupant behaviour metrics are simulated respectively using stochastic processes to capture daily variations in appliance occupant behaviour. It uses probability and cumulative density functions based on individual households and appliances which are shown to have advantages for modelling the variations in appliance occupant behaviours.
2017-02-16 11:13:27
Appliance behaviour
Occupant behaviour
Household electrical appliances
Stochastic modelling
Data-driven modelling
Bottom-up modelling
Built Environment and Design not elsewhere classified