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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

25 June 2021
Clayton Miller
Bianca Picchetti
Chunlei Fu
Jovan Pantelic
    AI4CE
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Papers citing "Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis"

4 / 4 papers shown
Title
Navigating Out-of-Distribution Electricity Load Forecasting during
  COVID-19: Benchmarking energy load forecasting models without and with
  continual learning
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
Arian Prabowo
Kaixuan Chen
Hao Xue
Subbu Sethuvenkatraman
Flora D. Salim
34
2
0
08 Sep 2023
ALDI++: Automatic and parameter-less discord and outlier detection for
  building energy load profiles
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Matias Quintana
Till Stoeckmann
J. Park
Marian Turowski
V. Hagenmeyer
Clayton Miller
29
5
0
13 Mar 2022
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
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
Chunlei Fu
Clayton Miller
24
30
0
31 Oct 2021
1