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Junjing Yang
Junjing Yang
Email verificata su nus.edu.sg
Titolo
Citata da
Citata da
Anno
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
8822017
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
3052016
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
2532016
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
1722017
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
1582018
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
1332017
Bayesian calibration of building energy models with large datasets
A Chong, KP Lam, M Pozzi, J Yang
Energy and Buildings 154, 343-355, 2017
1172017
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
852015
Energy performance model development and occupancy number identification of institutional buildings
J. YANG,M. Santamouris,S.E.Lee., C. Deb
Energy and buildings, 2016
672016
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
622016
Forecasting energy consumption of institutional buildings in Singapore
C Deb, LS Eang, J Yang, M Santamouris
Procedia Engineering 121, 1734-1740, 2015
492015
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
462014
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
432018
Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
P Anand, C Deb, K Yan, J Yang, D Cheong, C Sekhar
Energy and Buildings 252, 111478, 2021
362021
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
352013
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
312015
On the potential of building adaptation measures to counterbalance the impact of climatic change in the tropics
S Haddad, A Barker, J Yang, DIM Kumar, S Garshasbi, R Paolini, ...
Energy and Buildings 229, 110494, 2020
302020
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
292017
Building energy consumption raw data forecasting using data cleaning and deep recurrent neural networks
J Yang, KK Tan, M Santamouris, SE Lee
Buildings 9 (9), 204, 2019
282019
Urban Heat Island and mitigation technologies in Asian and Australian Cities—Impact and mitigation
J Yang, M Santamouris
Urban Science 2 (3), 74, 2018
242018
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