this paper has detailed the development and validation of two models for predicting electricity consumption and power demand profiles for small power equipment.
both model have demonstrated a good correlation between metered data and monthly predictions of energy consumption.
model 1 provides a more robust methodology for predicting the variability in power demand throughout a given day, being of particular use to building services design that very sensitive to changes in internal heat gains.
however, appropriate monitored data for individual appliances must be acquired to suitably represent the office space under investigation, and these might not be available at the design stage.