| Grading buildings on energy performance using city benchmarking data S Papadopoulos, CE Kontokosta Applied Energy 233, 244-253, 2019 | 167 | 2019 |
| Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates S Papadopoulos, CE Kontokosta, A Vlachokostas, E Azar Building and Environment 155, 350-359, 2019 | 164 | 2019 |
| Evaluation of tree-based ensemble learning algorithms for building energy performance estimation S Papadopoulos, E Azar, WL Woon, CE Kontokosta Journal of Building Performance Simulation 11 (3), 322-332, 2018 | 149 | 2018 |
| Integrating building performance simulation in agent-based modeling using regression surrogate models: A novel human-in-the-loop energy modeling approach S Papadopoulos, E Azar Energy and Buildings 128, 214-223, 2016 | 93 | 2016 |
| Short-term electricity load forecasting using time series and ensemble learning methods S Papadopoulos, I Karakatsanis 2015 IEEE Power and Energy Conference at Illinois (PECI), 1-6, 2015 | 93 | 2015 |
| Pattern recognition in building energy performance over time using energy benchmarking data S Papadopoulos, B Bonczak, CE Kontokosta Applied Energy 221, 576-586, 2018 | 86 | 2018 |
| Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling E Azar, C Nikolopoulou, S Papadopoulos Applied Energy 183, 926-937, 2016 | 85 | 2016 |
| The impact of mandatory energy audits on building energy use CE Kontokosta, D Spiegel-Feld, S Papadopoulos Nature Energy 5 (4), 309-316, 2020 | 77 | 2020 |
| Building retrofit hurdle rates and risk aversion in energy efficiency investments Y Lai, S Papadopoulos, F Fuerst, G Pivo, J Sagi, CE Kontokosta Applied Energy 306, 118048, 2022 | 41 | 2022 |
| Optimizing HVAC operation in commercial buildings: a genetic algorithm multi-objective optimization framework S Papadopoulos, E Azar 2016 Winter Simulation Conference (WSC), 1725-1735, 2016 | 41 | 2016 |
| Human behavior and energy consumption in buildings: an integrated agent-based modeling and building performance simulation framework E Azar, S Papadopoulos Building Simulation 2017 15, 482-487, 2017 | 14 | 2017 |
| An unsupervised machine learning approach to assess the zip code level impact of covid-19 in nyc F Khmaissia, PS Haghighi, A Jayaprakash, Z Wu, S Papadopoulos, Y Lai, ... arXiv preprint arXiv:2006.08361, 2020 | 12 | 2020 |
| Spatial and Geographic Patterns of Building Energy Performance: A Cross-City Comparative Analysis of Large-Scale Data S Papadopoulos, B Bonczak, CE Kontokosta International Conference on Sustainable Infrastructure 2017, 336-348, 2017 | 9 | 2017 |
| Mandatory building energy audits alone are insufficient to meet climate goals CE Kontokosta, D Spiegel-Feld, S Papadopoulos Nature Energy 5 (4), 282-283, 2020 | 5 | 2020 |
| Machine learning as surrogate to building performance simulation: A building design optimization application S Papadopoulos, WL Woon, E Azar Data Analytics for Renewable Energy Integration. Technologies, Systems and …, 2018 | 4 | 2018 |
| Big Buildings and Big Data: Do Energy Disclosure Policies Impact Energy Use over Time? S Papadopoulos, CE Kontokosta Computing in Civil Engineering, 248-255, 2017 | 3 | 2017 |
| Multi-objective Genetic Algorithm Optimization of HVAC Operation: Integrating Energy Consumption, Thermal Comfort, and Productivity S Papadopoulos, E Azar Energy Systems Evaluation (Volume 2) Multi-Criteria Decision Analysis, 261-278, 2021 | 2 | 2021 |
| Machine learning applications to advance the field of urban energy dynamics S Papadopoulos New York University Tandon School of Engineering, 2019 | 2 | 2019 |
| A Dynamic Spatial-Temporal Model of Urban Carbon Emissions for Data-Driven Climate Action by Cities C Kontokosta, Y Lai, B Bonzak, S Papadopoulos, B Hong, N Johnson, ... Bloomberg Data for Good Exchange 2018, 2018 | 2 | 2018 |
| Do Mandatory Energy Audits Reduce Building Energy Use?: A Bayesian Analysis of New York City's Local Law 87 CE Kontokosta, D Spiegel-Feld, S Papadopoulos A Bayesian Analysis of New York City's Local Law 87, 2018 | 1 | 2018 |
Constantine E. KontokostaNew York UniversityAdresse e-mail validée de nyu.edu