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Yeonsook Heo, Ph.D. - Publications

Affiliations: 
2011 Georgia Institute of Technology, Atlanta, GA 
Area:
Architectural Engineering, Architecture
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24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Ward RM, Choudhary R, Heo Y, Aston JAD. A data-centric bottom-up model for generation of stochastic internal load profiles based on space-use type Journal of Building Performance Simulation. 12: 620-636. DOI: 10.1080/19401493.2019.1583287  0.431
2019 Liao W, Heo Y, Xu S. Corrigendum to ‘Simplified vector-based model tailored for urban-scale prediction of solar irradiance’ [Sol. Energy 183 (2019) 566–586] Solar Energy. 188: 483. DOI: 10.1016/J.Solener.2019.06.031  0.46
2019 Liao W, Heo Y, Xu S. Simplified vector-based model tailored for urban-scale prediction of solar irradiance Solar Energy. 183: 566-586. DOI: 10.1016/J.Solener.2019.03.023  0.401
2019 Ren G, Heo Y, Sunikka-Blank M. Investigating an adequate level of modelling for retrofit decision-making: A case study of a British semi-detached house Journal of Building Engineering. 26: 100837. DOI: 10.1016/J.Jobe.2019.100837  0.456
2018 Menberg K, Heo Y, Choudhary R. Influence of error terms in Bayesian calibration of energy system models Journal of Building Performance Simulation. 12: 82-96. DOI: 10.1080/19401493.2018.1475506  0.451
2018 Tian W, Heo Y, Wilde Pd, Li Z, Yan D, Park CS, Feng X, Augenbroe G. A review of uncertainty analysis in building energy assessment Renewable & Sustainable Energy Reviews. 93: 285-301. DOI: 10.1016/J.Rser.2018.05.029  0.687
2018 Choi W, Menberg K, Kikumoto H, Heo Y, Choudhary R, Ooka R. Bayesian inference of structural error in inverse models of thermal response tests Applied Energy. 228: 1473-1485. DOI: 10.1016/J.Apenergy.2018.06.147  0.35
2017 Barthelmes VM, Heo Y, Fabi V, Corgnati SP. Exploration of the Bayesian Network framework for modelling window control behaviour Building and Environment. 126: 318-330. DOI: 10.1016/J.Buildenv.2017.10.011  0.542
2017 Menberg K, Heo Y, Choi W, Ooka R, Choudhary R, Shukuya M. Exergy analysis of a hybrid ground-source heat pump system Applied Energy. 204: 31-46. DOI: 10.1016/J.Apenergy.2017.06.076  0.405
2016 Pacheco-Torres R, Heo Y, Choudhary R. Efficient energy modelling of heterogeneous building portfolios Sustainable Cities and Society. 27: 49-64. DOI: 10.1016/J.Scs.2016.08.001  0.405
2016 Tian W, Liu Y, Heo Y, Yan D, Li Z, An J, Yang S. Relative importance of factors influencing building energy in urban environment Energy. 111: 237-250. DOI: 10.1016/J.Energy.2016.05.106  0.505
2016 Menberg K, Heo Y, Choudhary R. Sensitivity analysis methods for building energy models: Comparing computational costs and extractable information Energy and Buildings. 133: 433-445. DOI: 10.1016/J.Enbuild.2016.10.005  0.418
2016 Ward R, Choudhary R, Heo Y, Rysanek A. Exploring the impact of different parameterisations of occupant-related internal loads in building energy simulation Energy and Buildings. 123: 92-105. DOI: 10.1016/J.Enbuild.2016.04.050  0.474
2015 Yang S, Tian W, Heo Y, Meng Q, Wei L. Variable Importance Analysis for Urban Building Energy Assessment in the Presence of Correlated Factors Procedia Engineering. 121: 277-284. DOI: 10.1016/J.Proeng.2015.08.1069  0.473
2015 Heo Y, Augenbroe G, Graziano D, Muehleisen RT, Guzowski L. Scalable methodology for large scale building energy improvement: Relevance of calibration in model-based retrofit analysis Building and Environment. 87: 342-350. DOI: 10.1016/J.Buildenv.2014.12.016  0.676
2014 Sun Y, Heo Y, Tan M, Xie H, Jeff Wu CF, Augenbroe G. Uncertainty quantification of microclimate variables in building energy models Journal of Building Performance Simulation. 7: 17-32. DOI: 10.1080/19401493.2012.757368  0.693
2014 Burkhart MC, Heo Y, Zavala VM. Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach Energy and Buildings. 75: 189-198. DOI: 10.1016/J.Enbuild.2014.01.048  0.582
2013 Chen C, Wang J, Heo Y, Kishore S. MPC-based appliance scheduling for residential building energy management controller Ieee Transactions On Smart Grid. 4: 1401-1410. DOI: 10.1109/Tsg.2013.2265239  0.42
2013 Heo Y, Graziano D, Guzowski L, Muehleisen RT. Evaluation of calibration efficacy under different levels of uncertainty Proceedings of Bs 2013: 13th Conference of the International Building Performance Simulation Association. 1690-1697. DOI: 10.1080/19401493.2014.896947  0.457
2013 Heo Y, Augenbroe G, Choudhary R. Quantitative risk management for energy retrofit projects Journal of Building Performance Simulation. 6: 257-268. DOI: 10.1080/19401493.2012.706388  0.666
2013 Muehleisen RT, Heo Y, Graziano DJ, Guzowski LB. Stochastic energy simulation for risk analysis of energy retrofits Aei 2013: Building Solutions For Architectural Engineering - Proceedings of the 2013 Architectural Engineering National Conference. 902-911. DOI: 10.1061/9780784412909.088  0.514
2012 Heo Y, Zavala VM. Gaussian process modeling for measurement and verification of building energy savings Energy and Buildings. 53: 7-18. DOI: 10.1016/J.Enbuild.2012.06.024  0.647
2012 Heo Y, Choudhary R, Augenbroe GA. Calibration of building energy models for retrofit analysis under uncertainty Energy and Buildings. 47: 550-560. DOI: 10.1016/J.Enbuild.2011.12.029  0.621
2010 Choudhary R, Bafna S, Heo Y, Hendrich A, Chow M. A predictive model for computing the influence of space layouts on nurses' movement in hospital units Journal of Building Performance Simulation. 3: 171-184. DOI: 10.1080/19401490903174280  0.327
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