Ravi S. Srinivasan
- (2024): A data-driven approach to thermal transmittance (U-factor) calculation of double-glazed windows with or without inert gases between the panes. In: Energy and Buildings, v. 305 (February 2024).
- (2023): Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method. In: Energy and Buildings, v. 281 (February 2023).
- (2022): Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review. In: Journal of Building Engineering, v. 58 (October 2022).
- (2022): The Impact of Climate Change on a University Campus’ Energy Use: Use of Machine Learning and Building Characteristics. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2021): Applying blockchain technology for building energy performance measurement, reporting, and verification (MRV) and the carbon credit market: A review of the literature. In: Building and Environment, v. 205 (November 2021).
- (2016): Artificial Intelligent Models for Improved Prediction of Residential Space Heating. In: Journal of Energy Engineering, v. 142, n. 4 (December 2016).
- (2017): Space-Level Plug-Load Densities of Educational Buildings on University Campuses. In: Journal of Energy Engineering, v. 143, n. 2 (April 2017).
- (2015): Energy use assessment of educational buildings: Toward a campus-wide sustainable energy policy. In: Sustainable Cities and Society, v. 17 (September 2015).
- (2015): A need for balanced approach to neighborhood sustainability assessments: A critical review and analysis. In: Sustainable Cities and Society, v. 18 (November 2015).
- (2016): Complementary life cycle assessment of wastewater treatment plants: An integrated approach to comprehensive upstream and downstream impact assessments and its extension to building-level wastewater generation. In: Sustainable Cities and Society, v. 23 (May 2016).
- (2011): Plug-load densities for energy analysis: K-12 schools. In: Energy and Buildings, v. 43, n. 11 (November 2011).
- (2018): A novel ensemble learning approach to support building energy use prediction. In: Energy and Buildings, v. 159 (January 2018).
- (2018): Random Forest based hourly building energy prediction. In: Energy and Buildings, v. 171 (July 2018).
- (2019): A systematic development and validation approach to a novel agent-based modeling of occupant behaviors in commercial buildings. In: Energy and Buildings, v. 199 (September 2019).
- (2020): Ecological Assessment of Clay Brick Manufacturing in China Using Emergy Analysis. In: Buildings, v. 10, n. 11 (23 October 2020).
- (2020): A Systematic Approach to Calculate Unit Emergy Values of Cement Manufacturing in China Using Consumption Quota of Dry and Wet Raw Materials. In: Buildings, v. 10, n. 7 (28 June 2020).
- (2015): An integrated energy–emergy approach to building form optimization: Use of EnergyPlus, emergy analysis and Taguchi-regression method. In: Building and Environment, v. 84 (January 2015).
- (2014): Comparison of energy-based indicators used in life cycle assessment tools for buildings. In: Building and Environment, v. 79 (September 2014).
- (2012): Re(De)fining Net Zero Energy: Renewable Emergy Balance in environmental building design. In: Building and Environment, v. 47 (January 2012).
- (2019): Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. In: Automation in Construction, v. 101 (May 2019).
- (2005): A new paradigm for Human-Building Interaction: the use of CFD and Augmented Reality. In: Automation in Construction, v. 14, n. 1 (January 2005).
- (2005): Decision support and design evolution: integrating genetic algorithms, CFD and visualization. In: Automation in Construction, v. 14, n. 1 (January 2005).
- (2005): Interfacing with the Real Space and its Performance. In: International Journal of Architectural Computing, v. 3, n. 1 (January 2005).
- (2005): Real-Time Simulations Using Learning Algorithms for Immersive Data Visualization in Buildings. In: International Journal of Architectural Computing, v. 3, n. 3 (September 2005).
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