The authors conducted field measurements of the air conditioner (A/C) usage behaviour of occupants in 38 dwellings in Kuala Lumpur, Malaysia to understand the stochastic nature of energy demand for A/Cs. The measured A/C operation schedules were compiled as probability density distributions of duration, start and end times, and frequency of A/C events for each day. Based on this, a simple algorithm to synthesize stochastic time patterns of A/C operation schedules was developed. The validity of the model was demonstrated through comparison with observational data.
All Science Journal Classification (ASJC) codes
- Environmental Engineering
- Civil and Structural Engineering
- Geography, Planning and Development
- Building and Construction