Benjamin C. M. Fung 
- (2022): In-Processing fairness improvement methods for regression Data-Driven building Models: Achieving uniform energy prediction. In: Energy and Buildings, v. 277 (December 2022).
- (2022): The generalizability of pre-processing techniques on the accuracy and fairness of data-driven building models: A case study. In: Energy and Buildings, v. 268 (August 2022).
- (2018): Security and privacy challenges in smart cities. In: Sustainable Cities and Society, v. 39 (May 2018).
- (2016): Advances and challenges in building engineering and data mining applications for energy-efficient communities. In: Sustainable Cities and Society, v. 25 (August 2016).
- (2013): Extracting knowledge from building-related data — A data mining framework. In: Building Simulation, v. 6, n. 2 (May 2013).
- (2010): A decision tree method for building energy demand modeling. In: Energy and Buildings, v. 42, n. 10 (October 2010).
- (2011): A systematic procedure to study the influence of occupant behavior on building energy consumption. In: Energy and Buildings, v. 43, n. 6 (June 2011).
- (2012): A novel methodology for knowledge discovery through mining associations between building operational data. In: Energy and Buildings, v. 47 (April 2012).
- (2018): Development of building energy saving advisory: A data mining approach. In: Energy and Buildings, v. 172 (August 2018).
- (2020): A review of the-state-of-the-art in data-driven approaches for building energy prediction. In: Energy and Buildings, v. 221 (August 2020).
- (2019): Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior. In: Energy and Buildings, v. 183 (January 2019).
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