Energy and Buildings· 2017Q1
Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
- 997citations
- Q1SCImago
- 2017year
Short summary
Artificial Neural Networks (ANNs) achieved a marginally better root-mean-square error (RMSE) of 4.97 compared to Random Forest (RF) at 6.10 for predicting hourly hotel HVAC energy consumption, though RF offers advantages in tuning and handling categorical data.
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