article Open AccessTop 1% cited
Gradient boosting machine for modeling the energy consumption of commercial buildings
Energy and Buildings · 2017 · Vol. 158 · pp. 1533–1543
Samir Touzani✉(Lawrence Berkeley National Laboratory)Jessica Granderson(Lawrence Berkeley National Laboratory)Samuel Fernandes(Lawrence Berkeley National Laboratory)
Building Energy and Comfort OptimizationAir Quality Monitoring and ForecastingEnergy Efficiency and ManagementGradient boostingHVACBoosting (machine learning)Energy consumptionMachine learningComputer scienceRandom forestEfficient energy useArtificial intelligenceMean squared error
Funding
- U.S. Department of Energy
- Building Technologies Program
Citations
471
FWCI
17.68
field-weighted impact
References
49
Percentile
100%
vs. same field & year
Citations per year
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References
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Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
Energy and Buildings · 2017 · 962 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
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