Introducing a novel method for simulating stochastic movement and occupancy in residential spaces using time-use survey data

Keyphrases

• Energy Consumption 100%
• Age Groups 100%
• Human Behavior 100%
• Residential Buildings 100%
• Residential Space 100%
• Occupancy 100%
• Time Use Survey Data 100%
• Behavioral Patterns 50%
• Living Room 50%
• Bedroom 50%
• Model Accuracy 50%
• Accurate Modeling 50%
• Residential Architecture 50%
• Dynamic Nature 50%
• Sampling Algorithm 50%
• 10-fold Cross Validation 50%
• Energy Sustainability 50%
• Over 65 50%
• Detached House 50%
• R2 Value 50%
• Building Management 50%
• Kitchen 50%
• Appliances Energy 50%
• Probability Sampling 50%
• Stochastic Occupant Model 50%
• Functional Age 50%
• Sustainable Residential Building 50%
• Room Occupancy 50%
• Bathroom 50%
• Markov Chain Sampling 50%
• Functional Spaces 50%
• Energy Consumption Simulation 50%
• Degree of Precision 50%
• Occupancy Patterns 50%

Engineering

• Residential Building 100%
• Energy Engineering 66%
• Building Design 33%
• Dynamic Nature 33%
• Detached House 33%
• Inherent Randomness 33%
• Building Management 33%
• Appliance Energy 33%