Ravi Srinivasan PhD
Ravi Srinivasan PhD
Professor & Director of Graduate Programs & Research
Verified email at - Homepage
Cited by
Cited by
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Z Wang, RS Srinivasan
Renewable and Sustainable Energy Reviews 75, 796-808, 2017
Random Forest based hourly building energy prediction
Z Wang, Y Wang, R Zeng, RS Srinivasan, S Ahrentzen
Energy and Buildings 171, 11-25, 2018
Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications
M Jia, A Komeily, Y Wang, RS Srinivasan
Automation in Construction 101, 111-126, 2019
Smart cities: foundations, principles, and applications
H Song, R Srinivasan, T Sookoor, S Jeschke
John Wiley & Sons, 2017
From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency
M Jia, RS Srinivasan, AA Raheem
Renewable and Sustainable Energy Reviews 68, 525-540, 2017
A need for balanced approach to neighborhood sustainability assessments: A critical review and analysis
A Komeily, RS Srinivasan
Sustainable Cities and Society 18, 32-43, 2015
Machine learning applications in urban building energy performance forecasting: A systematic review
S Fathi, R Srinivasan, A Fenner, S Fathi
Renewable and Sustainable Energy Reviews 133, 110287, 2020
A novel ensemble learning approach to support building energy use prediction
Z Wang, Y Wang, RS Srinivasan
Energy and Buildings 159, 109-122, 2018
Re (De) fining net zero energy: renewable emergy balance in environmental building design
RS Srinivasan, WW Braham, DE Campbell, CD Curcija
Building and Environment 47, 300-315, 2012
A new paradigm for Human-Building Interaction: the use of CFD and Augmented Reality
AM Malkawi, RS Srinivasan
Automation in construction 14 (1), 71-84, 2005
Comparison of energy-based indicators used in life cycle assessment tools for buildings
RS Srinivasan, W Ingwersen, C Trucco, R Ries, D Campbell
Building and environment 79, 138-151, 2014
Applying blockchain technology for building energy performance measurement, reporting, and verification (MRV) and the carbon credit market: A review of the literature
J Woo, R Fatima, CJ Kibert, RE Newman, Y Tian, RS Srinivasan
Building and Environment 205, 108199, 2021
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Z Wang, J Liu, Y Zhang, H Yuan, R Zhang, RS Srinivasan
Renewable and Sustainable Energy Reviews 143, 110929, 2021
An integrated energy–emergy approach to building form optimization: Use of EnergyPlus, emergy analysis and Taguchi-regression method
H Yi, RS Srinivasan, WW Braham
Building and Environment 84, 89-104, 2015
A systematic review of air quality sensors, guidelines, and measurement studies for indoor air quality management
H Zhang, R Srinivasan
Sustainability 12 (21), 9045, 2020
Energy use assessment of educational buildings: Toward a campus-wide sustainable energy policy
D Agdas, RS Srinivasan, K Frost, FJ Masters
Sustainable Cities and Society 17, 15-21, 2015
A review of artificial intelligence based building energy prediction with a focus on ensemble prediction models
Z Wang, RS Srinivasan
2015 Winter simulation conference (WSC), 3438-3448, 2015
An ecological understanding of net-zero energy building: Evaluation of sustainability based on emergy theory
H Yi, RS Srinivasan, WW Braham, DR Tilley
Journal of Cleaner Production 143, 654-671, 2017
Decision support and design evolution: integrating genetic algorithms, CFD and visualization
AM Malkawi, RS Srinivasan, KY Yun, R Choudhary
Automation in construction 14 (1), 33-44, 2005
Low cost, multi-pollutant sensing system using raspberry pi for indoor air quality monitoring
H Zhang, R Srinivasan, V Ganesan
Sustainability 13 (1), 370, 2021
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