Comparison of linear regression and artificial neural networks models to predict heating and cooling energy demand, energy consumption and CO2 emissions
Comparison of linear regression and ANN models. Predictive methods for energy demand, consumption and CO2 emissions. Multilayer perceptron accuracy with an R2 coefficient above 99%. Multiple variable iterations on the first stages of building design.