Siew Eang Lee
- (2005): A holistic utility bill analysis method for baselining whole commercial building energy consumption in Singapore. In: Energy and Buildings, v. 37, n. 2 (February 2005).
- (2005): Applying support vector machines to predict building energy consumption in tropical region. In: Energy and Buildings, v. 37, n. 5 (May 2005).
- (2016): Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings. In: Energy and Buildings, v. 121 (June 2016).
- (2016): Energy performance model development and occupancy number identification of institutional buildings. In: Energy and Buildings, v. 123 (July 2016).
- (2016): Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. In: Energy and Buildings, v. 126 (August 2016).
- (2016): Predicting the CO2 levels in buildings using deterministic and identified models. In: Energy and Buildings, v. 127 (September 2016).
- (2017): k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. In: Energy and Buildings, v. 146 (July 2017).
- (2017): Anthropogenic heat reduction through retrofitting strategies of campus buildings. In: Energy and Buildings, v. 152 (October 2017).
- (2018): Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. In: Energy and Buildings, v. 159 (January 2018).
- (2018): A decision tool to balance indoor air quality and energy consumption: A case study. In: Energy and Buildings, v. 165 (April 2018).
- (2018): Comparison of different occupancy counting methods for single system-single zone applications. In: Energy and Buildings, v. 172 (August 2018).
- (2020): Experimental study on noise reduction and ventilation performances of sound-proofed ventilation window. In: Building and Environment, v. 181 (August 2020).
- (2019): Building Energy Consumption Raw Data Forecasting Using Data Cleaning and Deep Recurrent Neural Networks. In: Buildings, v. 9, n. 9 (22 August 2019).
- (2017): Energy utilizability concept as a retrofitting solution selection criterion for buildings. In: Journal of Civil Engineering and Management, v. 23, n. 5 (May 2017).
- (2002): The Thermal Effects of Plants on Buildings. In: Architectural Science Review, v. 45, n. 4 (December 2002).
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