Chun Fu 
- (2023): The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. In: Journal of Physics: Conference Series, v. 2600, n. 3 (1 November 2023).
- (2024): Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. In: Energy and Buildings, v. 310 (Mai 2024).
- (2023): Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale. In: Building and Environment, v. 239 (Juli 2023).
- (2022): Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. In: Science and Technology for the Built Environment, v. 28, n. 5 (April 2022).
- (2020): The ASHRAE Great Energy Predictor III competition: Overview and results. In: Science and Technology for the Built Environment, v. 26, n. 10 (Oktober 2020).
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