A hybrid ensemble learning framework for zero-energy potential prediction of photovoltaic direct-driven air conditioners

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

Computing, Computer Science, Data Science +16

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

Muhammad Waseem Ahmad, Monjur Mourshed, Yacine Rezgui · Energy and Buildings · 2017 · 989 citations · Full text

Computing, Building Science, Computer Science +17

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

Wengang Zhang, Chongzhi Wu, Haiyi Zhong et al. · Geoscience Frontiers · 2020 · 844 citations · Full text

Engineering, Civil Engineering, Data Science +16

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

Yufei Xia, Chuanzhe Liu, Yuying Li et al. · Expert Systems with Applications · 2017 · 767 citations

Computing, Data Science, Decision Sciences +16

Random Forest based hourly building energy prediction

Zeyu Wang, Yueren Wang, Ruochen Zeng et al. · Energy and Buildings · 2018 · 617 citations

Architecture, Architectural Engineering, Building Science +14