Machine learning approaches for estimating commercial building energy consumption

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

Ron Kohavi · 1995 · 10.7K citations · Full text

Computing, Computer Science, Data Mining +13

Energy Information Administration

Choice Reviews Online · 2007 · 2.5K citations

Natural Sciences, Earth Sciences, Petroleum Engineering +5

Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks

Kwok Fai Tso, Kelvin K.W. Yau · Energy · 2007 · 930 citations

Computing, Data Science, Electrical Engineering +17