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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