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Bing Dong, Ph.D. - Publications

Affiliations: 
2010 Carnegie Mellon University, Pittsburgh, PA 
Area:
Architectural Engineering, Mechanical Engineering, Energy
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44 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
2022 Dong B, Liu Y, Mu W, Jiang Z, Pandey P, Hong T, Olesen B, Lawrence T, O'Neil Z, Andrews C, Azar E, Bandurski K, Bardhan R, Bavaresco M, Berger C, et al. A Global Building Occupant Behavior Database. Scientific Data. 9: 369. PMID 35764639 DOI: 10.1038/s41597-022-01475-3  0.325
2020 Hu S, Yan D, Dong B, Fu J. Exploring key factors impacting cooling usage patterns of Chinese urban household based on a large-scale questionnaire survey Energy and Buildings. 214: 109885. DOI: 10.1016/J.Enbuild.2020.109885  0.365
2020 Salim FD, Dong B, Ouf M, Wang Q, Pigliautile I, Kang X, Hong T, Wu W, Liu Y, Rumi SK, Rahaman MS, An J, Deng H, Shao W, Dziedzic J, et al. Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey Building and Environment. 183: 106964. DOI: 10.1016/J.Buildenv.2020.106964  0.435
2020 Kjærgaard MB, Ardakanian O, Carlucci S, Dong B, Firth SK, Gao N, Huebner GM, Mahdavi A, Rahaman MS, Salim FD, Sangogboye FC, Schwee JH, Wolosiuk D, Zhu Y. Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings Building and Environment. 177: 106848. DOI: 10.1016/J.Buildenv.2020.106848  0.347
2020 O'Brien W, Wagner A, Schweiker M, Mahdavi A, Day J, Kjærgaard MB, Carlucci S, Dong B, Tahmasebi F, Yan D, Hong T, Gunay HB, Nagy Z, Miller C, Berger C. Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation Building and Environment. 178: 106738. DOI: 10.1016/J.Buildenv.2020.106738  0.39
2020 Pang Z, Chen Y, Zhang J, O'Neill Z, Cheng H, Dong B. Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates Applied Energy. 279: 115727. DOI: 10.1016/J.Apenergy.2020.115727  0.481
2020 Wu W, Dong B, Wang Q(, Kong M, Yan D, An J, Liu Y. A novel mobility-based approach to derive urban-scale building occupant profiles and analyze impacts on building energy consumption Applied Energy. 278: 115656. DOI: 10.1016/J.Apenergy.2020.115656  0.47
2019 Taha AF, Gatsis N, Dong B, Pipri A, Li Z. Buildings-to-Grid Integration Framework Ieee Transactions On Smart Grid. 10: 1237-1249. DOI: 10.1109/Tsg.2017.2761861  0.396
2019 Yan D, Jin Y, Sun H, Dong B, Ye Z, Li Z, Yuan Y. Household appliance recognition through a Bayes classification model Sustainable Cities and Society. 46: 101393. DOI: 10.1016/J.Scs.2018.12.021  0.348
2019 Dong B, Prakash V, Feng F, O'Neill Z. A review of smart building sensing system for better indoor environment control Energy and Buildings. 199: 29-46. DOI: 10.1016/J.Enbuild.2019.06.025  0.427
2019 Fontenot H, Dong B. Modeling and control of building-integrated microgrids for optimal energy management – A review Applied Energy. 254: 113689. DOI: 10.1016/J.Apenergy.2019.113689  0.42
2018 Nayak T, Zhang T, Mao Z, Xu X, Zhang L, Pack DJ, Dong B, Huang Y. Prediction of Human Performance Using Electroencephalography under Different Indoor Room Temperatures. Brain Sciences. 8. PMID 29690601 DOI: 10.3390/Brainsci8040074  0.32
2018 Mirakhorli A, Dong B. Market and behavior driven predictive energy management for residential buildings Sustainable Cities and Society. 38: 723-735. DOI: 10.1016/J.Scs.2018.01.030  0.388
2018 Li Z, Dong B. Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches Energy and Buildings. 158: 268-281. DOI: 10.1016/J.Enbuild.2017.09.052  0.386
2018 Mirakhorli A, Dong B. Model predictive control for building loads connected with a residential distribution grid Applied Energy. 230: 627-642. DOI: 10.1016/J.Apenergy.2018.08.051  0.366
2018 Liu Y, Yu N, Wang W, Guan X, Xu Z, Dong B, Liu T. Coordinating the operations of smart buildings in smart grids Applied Energy. 228: 2510-2525. DOI: 10.1016/J.Apenergy.2018.07.089  0.365
2018 Dong B, Li Z, Taha A, Gatsis N. Occupancy-based buildings-to-grid integration framework for smart and connected communities Applied Energy. 219: 123-137. DOI: 10.1016/J.Apenergy.2018.03.007  0.454
2018 Dong B, Yan D, Li Z, Jin Y, Feng X, Fontenot H. Modeling occupancy and behavior for better building design and operation—A critical review Building Simulation. 11: 899-921. DOI: 10.1007/S12273-018-0452-X  0.437
2017 Xu X, Maki A, Chen C, Dong B, Day JK. Investigating willingness to save energy and communication about energy use in the American workplace with the attitude-behavior-context model Energy Research and Social Science. 32: 13-22. DOI: 10.1016/J.Erss.2017.02.011  0.359
2017 Yan D, Hong T, Dong B, Mahdavi A, D’Oca S, Gaetani I, Feng X. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings Energy and Buildings. 156: 258-270. DOI: 10.1016/J.Enbuild.2017.09.084  0.46
2017 Hu S, Yan D, Guo S, Cui Y, Dong B. A survey on energy consumption and energy usage behavior of households and residential building in urban China Energy and Buildings. 148: 366-378. DOI: 10.1016/J.Enbuild.2017.03.064  0.42
2017 Li Z, Dong B. A new modeling approach for short-term prediction of occupancy in residential buildings Building and Environment. 121: 277-290. DOI: 10.1016/J.Buildenv.2017.05.005  0.423
2017 Andrews CJ, Dong B. Applications incorporating occupant behavior into building simulation Building Simulation. 10: 783-783. DOI: 10.1007/S12273-017-0416-6  0.312
2017 Mirakhorli A, Dong B. Occupant-behavior driven appliance scheduling for residential buildings Building Simulation. 10: 917-931. DOI: 10.1007/S12273-017-0402-Z  0.408
2016 Le TB, Kholdi D, Xie H, Dong B, Vega RE. LiDAR-based solar mapping for distributed solar plant design and grid integration in San Antonio, Texas Remote Sensing. 8. DOI: 10.3390/Rs8030247  0.373
2016 Li Z, Mahbobur Rahman SM, Vega R, Dong B. A hierarchical approach using machine learning methods in solar photovoltaic energy production forecasting Energies. 9. DOI: 10.3390/En9010055  0.313
2016 Dey D, Dong B. A probabilistic approach to diagnose faults of air handling units in buildings Energy and Buildings. 130: 177-187. DOI: 10.1016/J.Enbuild.2016.08.017  0.316
2016 Mirakhorli A, Dong B. Occupancy behavior based model predictive control for building indoor climate—A critical review Energy and Buildings. 129: 499-513. DOI: 10.1016/J.Enbuild.2016.07.036  0.412
2016 Dong B, Li Z, Rahman SMM, Vega R. A hybrid model approach for forecasting future residential electricity consumption Energy and Buildings. 117: 341-351. DOI: 10.1016/J.Enbuild.2015.09.033  0.425
2015 Dong B, Li Z, McFadden G. An investigation on energy-related occupancy behavior for low-income residential buildings Science and Technology For the Built Environment. 21: 892-901. DOI: 10.1080/23744731.2015.1040321  0.382
2015 Zhang Y, O'Neill Z, Dong B, Augenbroe G. Comparisons of inverse modeling approaches for predicting building energy performance Building and Environment. 86: 177-190. DOI: 10.1016/J.Buildenv.2014.12.023  0.453
2014 Dong B, Oneill Z, Luo D, Bailey T. Development and calibration of an online energy model for campus buildings Energy and Buildings. 76: 316-327. DOI: 10.1016/J.Enbuild.2014.02.064  0.444
2014 Dong B, O'Neill Z, Li Z. A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics Automation in Construction. 44: 197-211. DOI: 10.1016/J.Autcon.2014.04.007  0.439
2014 Dong B, Lam KP. A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting Building Simulation. 7: 89-106. DOI: 10.1007/S12273-013-0142-7  0.64
2013 O'Neill Z, Bailey T, Dong B, Shashanka M, Luo D. Advanced building energy management system demonstration for Department of Defense buildings. Annals of the New York Academy of Sciences. 1295: 44-53. PMID 23808808 DOI: 10.1111/Nyas.12188  0.429
2013 Srivastav A, Tewari A, Dong B. Baseline building energy modeling and localized uncertainty quantification using Gaussian mixture models Energy and Buildings. 65: 438-447. DOI: 10.1016/J.Enbuild.2013.05.037  0.46
2013 Lam KP, Zhang R, Wang H, Dong B, Zhang R. Development of web-based information technology infrastructures and regulatory repositories for green building codes in China (iCodes) Building Simulation. 6: 195-205. DOI: 10.1007/S12273-013-0112-0  0.655
2013 Dong B, Gorbounov M, Yuan S, Wu T, Srivastav A, Bailey T, O'Neill Z. Integrated energy performance modeling for a retail store building Building Simulation. 6: 283-295. DOI: 10.1007/S12273-013-0109-8  0.425
2012 Zhang R, Lam KP, Chiou YS, Dong B. Information-theoretic environment features selection for occupancy detection in open office spaces Building Simulation. 5: 179-188. DOI: 10.1007/S12273-012-0075-6  0.583
2011 Dong B, Lam KP. Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network Journal of Building Performance Simulation. 4: 359-369. DOI: 10.1080/19401493.2011.577810  0.636
2010 Dong B, Andrews B, Lam KP, Höynck M, Zhang R, Chiou YS, Benitez D. An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network Energy and Buildings. 42: 1038-1046. DOI: 10.1016/J.Enbuild.2010.01.016  0.628
2008 Yezioro A, Dong B, Leite FL. An applied artificial intelligence approach towards assessing building performance simulation tools Energy and Buildings. 40: 612-620. DOI: 10.1016/J.Enbuild.2007.04.014  0.426
2005 Dong B, Cao C, Lee SE. Applying support vector machines to predict building energy consumption in tropical region Energy and Buildings. 37: 545-553. DOI: 10.1016/J.Enbuild.2004.09.009  0.434
2005 Dong B, Lee SE, Sapar MH. A holistic utility bill analysis method for baselining whole commercial building energy consumption in Singapore Energy and Buildings. 37: 167-174. DOI: 10.1016/J.Enbuild.2004.06.011  0.443
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