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Using Google Trends as a proxy for occupant behavior to predict building
  energy consumption

Using Google Trends as a proxy for occupant behavior to predict building energy consumption

31 October 2021
Chunlei Fu
Clayton Miller
ArXivPDFHTML

Papers citing "Using Google Trends as a proxy for occupant behavior to predict building energy consumption"

2 / 2 papers shown
Title
Gradient boosting machines and careful pre-processing work best: ASHRAE
  Great Energy Predictor III lessons learned
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned
Clayton Miller
Liu Hao
Chunlei Fu
AI4CE
39
6
0
07 Feb 2022
Limitations of machine learning for building energy prediction: ASHRAE
  Great Energy Predictor III Kaggle competition error analysis
Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
Clayton Miller
Bianca Picchetti
Chunlei Fu
Jovan Pantelic
AI4CE
35
24
0
25 Jun 2021
1