A data-driven framework for abnormally high building energy demand detection with weather and block morphology at community scale

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

The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock

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Architecture, Architectural Engineering, Building Science +17

Data driven prediction models of energy use of appliances in a low-energy house

Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix · Energy and Buildings · 2017 · 538 citations · Full text

Architecture, Architectural Engineering, Building Science +16

A deep learning framework for building energy consumption forecast

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Architecture, Building Science, Energy Systems +13

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Anh‐Duc Pham, Ngoc-Tri Ngo, Thi Thu Ha Truong et al. · Journal of Cleaner Production · 2020 · 382 citations

Architecture, Architectural Engineering, Building Science +16