A multivariate non-linear regression model to predict the energy demand for lighting in rooms with different architectural features and lighting control systems

The average error of the mathematical models in estimating the lighting energy demand with respect to the results of Daysim simulations was quantified in terms of the normalized Mean Bias Error value (0.66% - for the manual control system model and 0.29% - for the automatic daylight responsive control system model) and of the Coefficient of Variation of the Root Mean Squared Error (3.45% and 5.34% for the two models, respectively).