Year |
Citation |
Score |
2020 |
Ma R, Ren B, Zhao D, Chen J, Lu Y. Modeling urban energy dynamics under clustered urban heat island effect with local-weather extended distributed adjacency blocks Sustainable Cities and Society. 56: 102099. DOI: 10.1016/J.Scs.2020.102099 |
0.363 |
|
2020 |
Qu Y, Chen J, Liu L, Xu T, Wu H, Zhou X. Study on properties of phase change foam concrete block mixed with paraffin / fumed silica composite phase change material Renewable Energy. 150: 1127-1135. DOI: 10.1016/J.Renene.2019.10.073 |
0.313 |
|
2020 |
Wu F, Lin Z, Xu T, Chen J, Huang G, Wu H, Zhou X, Wang D, Liu Y, Hu J. Development and thermal properties of a novel sodium acetate trihydrate-Acetamide-micron/nano aluminum nitride composite phase change material Materials & Design. 109113. DOI: 10.1016/J.Matdes.2020.109113 |
0.309 |
|
2020 |
Yang J, Zhang Z, Hong M, Yang M, Chen J. An oligarchy game model for the mobile waste heat recovery energy supply chain Energy. 210: 118548. DOI: 10.1016/J.Energy.2020.118548 |
0.318 |
|
2020 |
Sun Y, Ma R, Chen J, Xu T. Heuristic optimization for grid-interactive net-zero energy building design through the glowworm swarm algorithm Energy and Buildings. 208: 109644. DOI: 10.1016/J.Enbuild.2019.109644 |
0.338 |
|
2020 |
Zhou Y, Chen J, Yu ZJ, Li J, Huang G, Haghighat F, Zhang G. A novel model based on multi-grained cascade forests with wavelet denoising for indoor occupancy estimation Building and Environment. 167: 106461. DOI: 10.1016/J.Buildenv.2019.106461 |
0.306 |
|
2019 |
Liu L, Chen J, Qu Y, Xu T, Wu H, Huang G, Zhou X, Yang L. A foamed cement blocks with paraffin/expanded graphite composite phase change solar thermal absorption material Solar Energy Materials and Solar Cells. 200: 110038. DOI: 10.1016/J.Solmat.2019.110038 |
0.328 |
|
2019 |
Chen J, Qiu Q, Han Y, Lau D. Piezoelectric materials for sustainable building structures: Fundamentals and applications Renewable & Sustainable Energy Reviews. 101: 14-25. DOI: 10.1016/J.Rser.2018.09.038 |
0.339 |
|
2019 |
Ma R, Geng C, Yu Z, Chen J, Luo X. Modeling city-scale building energy dynamics through inter-connected distributed adjacency blocks Energy and Buildings. 202: 109391. DOI: 10.1016/J.Enbuild.2019.109391 |
0.346 |
|
2019 |
Zheng Z, Chen J, Luo X. Parallel computational building-chain model for rapid urban-scale energy simulation Energy and Buildings. 201: 37-52. DOI: 10.1016/J.Enbuild.2019.07.034 |
0.355 |
|
2019 |
Xu X, Wang W, Hong T, Chen J. Incorporating machine learning with building network analysis to predict multi-building energy use Energy and Buildings. 186: 80-97. DOI: 10.1016/J.Enbuild.2019.01.002 |
0.357 |
|
2019 |
Wang W, Chen J. Investigation on correlation of energy consumption of multi-buildings on campus area Energy Procedia. 158: 3559-3564. DOI: 10.1016/J.Egypro.2019.01.911 |
0.35 |
|
2019 |
Wu S, Zhuang Y, Chen J, Wang W, Bai Y, Lo S. Rethinking bus-to-metro accessibility in new town development: Case studies in Shanghai Cities. 94: 211-224. DOI: 10.1016/J.Cities.2019.06.010 |
0.306 |
|
2019 |
Wang W, Hong T, Xu N, Xu X, Chen J, Shan X. Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering Building and Environment. 162: 106280. DOI: 10.1016/J.Buildenv.2019.106280 |
0.3 |
|
2019 |
Chen J, Chen H, Luo X. Collecting building occupancy data of high resolution based on WiFi and BLE network Automation in Construction. 102: 183-194. DOI: 10.1016/J.Autcon.2019.02.016 |
0.386 |
|
2019 |
Wang W, Hong T, Xu X, Chen J, Liu Z, Xu N. Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm Applied Energy. 248: 217-230. DOI: 10.1016/J.Apenergy.2019.04.085 |
0.363 |
|
2019 |
Wang W, Hong T, Li N, Wang RQ, Chen J. Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification Applied Energy. 236: 55-69. DOI: 10.1016/J.Apenergy.2018.11.079 |
0.354 |
|
2018 |
Rafsanjani HN, Ahn CR, Chen J. Linking building energy consumption with occupants’ energy-consuming behaviors in commercial buildings: Non-intrusive occupant load monitoring (NIOLM) Energy and Buildings. 172: 317-327. DOI: 10.1016/J.Enbuild.2018.05.007 |
0.358 |
|
2018 |
Wang W, Wang J, Chen J, Huang G, Guo X. Multi-zone outdoor air coordination through Wi-Fi probe-based occupancy sensing Energy and Buildings. 159: 495-507. DOI: 10.1016/J.Enbuild.2017.11.041 |
0.33 |
|
2018 |
Wang W, Xu X, Wei H, Ren B, Chen J. Modeling occupancy distribution in large building spaces for HVAC energy efficiency Energy Procedia. 152: 1230-1235. DOI: 10.1016/J.Egypro.2018.09.174 |
0.341 |
|
2018 |
Zhang N, Lu Y, Chen J. Development of An Innovation Diffusion Model for Renewable Energy Deployment Energy Procedia. 152: 959-964. DOI: 10.1016/J.Egypro.2018.09.100 |
0.338 |
|
2018 |
Wang W, Chen J, Hong T, Zhu N. Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology Building and Environment. 138: 160-170. DOI: 10.1016/J.Buildenv.2018.04.034 |
0.351 |
|
2018 |
Wang W, Chen J, Hong T. Modeling occupancy distribution in large spaces with multi-feature classification algorithm Building and Environment. 137: 108-117. DOI: 10.1016/J.Buildenv.2018.04.002 |
0.34 |
|
2018 |
Wang W, Chen J, Hong T. Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings Automation in Construction. 94: 233-243. DOI: 10.1016/J.Autcon.2018.07.007 |
0.303 |
|
2018 |
Khosrowpour A, Jain RK, Taylor JE, Peschiera G, Chen J, Gulbinas R. A review of occupant energy feedback research: Opportunities for methodological fusion at the intersection of experimentation, analytics, surveys and simulation Applied Energy. 218: 304-316. DOI: 10.1016/J.Apenergy.2018.02.148 |
0.464 |
|
2017 |
Lu Y, Zhang N, Chen J. A behavior-based decision-making model for energy performance contracting in building retrofit Energy and Buildings. 156: 315-326. DOI: 10.1016/J.Enbuild.2017.09.088 |
0.364 |
|
2017 |
Diao L, Sun Y, Chen Z, Chen J. Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation Energy and Buildings. 147: 47-66. DOI: 10.1016/J.Enbuild.2017.04.072 |
0.353 |
|
2017 |
Wang W, Lin Z, Chen J. Promoting Energy Efficiency of HVAC Operation in Large Office Spaces with a Wi-Fi Probe enabled Markov Time Window Occupancy Detection Approach Energy Procedia. 143: 204-209. DOI: 10.1016/J.Egypro.2017.12.672 |
0.397 |
|
2017 |
Wang W, Han Y, Chen J, Xu T. An IPS-calibrated Outdoor Air Flow Control Strategy in Multizone Commercial Space Energy Procedia. 142: 1842-1847. DOI: 10.1016/J.Egypro.2017.12.573 |
0.302 |
|
2017 |
Wang W, Lu Y, Huang G, Luo X, Chen J. HVAC Energy Saving in IPS-enabled Large Space: An Occupancy Distribution Based Demand-driven Control Approach Energy Procedia. 105: 2083-2088. DOI: 10.1016/J.Egypro.2017.03.587 |
0.361 |
|
2017 |
Wang W, Chen J, Song X. Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach Building and Environment. 124: 130-142. DOI: 10.1016/J.Buildenv.2017.08.003 |
0.356 |
|
2017 |
Wang W, Chen J, Lu Y, Wei H. Energy conservation through flexible HVAC management in large spaces: An IPS-based demand-driven control (IDC) system Automation in Construction. 83: 91-107. DOI: 10.1016/J.Autcon.2017.08.021 |
0.379 |
|
2017 |
Wang W, Chen J, Huang G, Lu Y. Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution Applied Energy. 207: 305-323. DOI: 10.1016/J.Apenergy.2017.06.060 |
0.372 |
|
2016 |
Yu Z(, Chen J, Sun Y, Zhang G. A GA-based system sizing method for net-zero energy buildings considering multi-criteria performance requirements under parameter uncertainties Energy and Buildings. 129: 524-534. DOI: 10.1016/J.Enbuild.2016.08.032 |
0.34 |
|
2014 |
Chen J, Ahn C. Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings Energy and Buildings. 82: 540-549. DOI: 10.1016/J.Enbuild.2014.07.053 |
0.355 |
|
2013 |
Chen J, Jain RK, Taylor JE. Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption Applied Energy. 105: 358-368. DOI: 10.1016/J.Apenergy.2012.12.036 |
0.485 |
|
2012 |
Chen J, Taylor JE, Wei H. Modeling building occupant network energy consumption decision-making: The interplay between network structure and conservation Energy and Buildings. 47: 515-524. DOI: 10.1016/J.Enbuild.2011.12.026 |
0.361 |
|
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