Junjing Yang
Junjing Yang
Verified email at nus.edu.sg
Cited by
Cited by
A review on time series forecasting techniques for building energy consumption
C Deb, F Zhang, J Yang, SE Lee, KW Shah
Renewable and Sustainable Energy Reviews 74, 902-924, 2017
Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings
J Yang, M Santamouris, SE Lee
Energy and Buildings 121, 344-349, 2016
Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique
F Zhang, C Deb, SE Lee, J Yang, KW Shah
Energy and Buildings 126, 94-103, 2016
k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement
J Yang, C Ning, C Deb, F Zhang, D Cheong, SE Lee, C Sekhar, KW Tham
Energy and Buildings 146, 27-37, 2017
Bayesian calibration of building energy models with large datasets
A Chong, KP Lam, M Pozzi, J Yang
Energy and Buildings 154, 343-355, 2017
Energy performance model development and occupancy number identification of institutional buildings
J. YANG,M. Santamouris,S.E.Lee., C. Deb
Energy and buildings, 2016
Predicting occupancy counts using physical and statistical Co2-based modeling methodologies
MS Zuraimi, A Pantazaras, KA Chaturvedi, JJ Yang, KW Tham, SE Lee
Building and Environment 123, 517-528, 2017
Green and cool roofs’ urban heat island mitigation potential in tropical climate
J Yang, A Pyrgou, A Chong, M Santamouris, D Kolokotsa, SE Lee
Solar Energy 173, 597-609, 2018
Predicting the CO2 levels in buildings using deterministic and identified models
A Pantazaras, SE Lee, M Santamouris, J Yang
Energy and Buildings 127, 774-785, 2016
Impact of personalized ventilation on human response: comparison between constant and fluctuating airflows under warm condition
J Yang, AK Melikov, PO Fanger, X Li, Q Yan
Roomvent-8th International Conference on Air Distribution in Rooms …, 2002
Forecasting energy consumption of institutional buildings in Singapore
C Deb, LS Eang, J Yang, M Santamouris
Procedia Engineering 121, 1734-1740, 2015
Performance evaluation of an integrated Personalized Ventilation–Personalized Exhaust system in conjunction with two background ventilation systems
Y Junjing, C Sekhar, D Cheong, B Raphael
Building and environment 78, 103-110, 2014
Performance evaluation of a novel personalized ventilation–personalized exhaust system for airborne infection control
J Yang, SC Sekhar, KWD Cheong, B Raphael
Indoor Air 25 (2), 176-187, 2015
Computational fluid dynamics study and evaluation of different personalized exhaust devices
J Yang, C Sekhar, DCK Wai, B Raphael
HVAC&R Research 19 (8), 934-946, 2013
Anthropogenic heat reduction through retrofitting strategies of campus buildings
J Yang, KW Tham, SE Lee, M Santamouris, C Sekhar, DKW Cheong
Energy and buildings 152, 813-822, 2017
Air quality evaluation in rooms with personalized ventilation and different occupant distributions
J Yang, X Li, W Sun, J Kaczmarczyk, AK Melikov
9th International Conference on Air Distribution in Rooms, 2004
Comparison of different occupancy counting methods for single system-single zone applications
J Yang, A Pantazaras, KA Chaturvedi, AK Chandran, M Santamouris, ...
Energy and Buildings 172, 221-234, 2018
A time-based analysis of the personalized exhaust system for airborne infection control in healthcare settings
J Yang, C Sekhar, DKW Cheong, B Raphael
Science and Technology for the Built Environment 21 (2), 172-178, 2015
Model development and comparison for the evaluation of the energy performance of three tertiary institutional buildings in Singapore
J Yang, M Santamouris, SE Lee, C Deb
Procedia Engineering 121, 1133-1143, 2015
Retrofitting solutions for two different occupancy levels of educational buildings in tropics
J Yang, A Pantazaras, SE Lee, M Santamouris
International Journal of Sustainable Energy 37 (1), 81-95, 2018
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