Sokratis Papadopoulos
Sokratis Papadopoulos
Data Scientist, Amazon
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
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
422016
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
402016
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
362015
Grading buildings on energy performance using city benchmarking data
S Papadopoulos, CE Kontokosta
Applied Energy 233, 244-253, 2019
322019
Pattern recognition in building energy performance over time using energy benchmarking data
S Papadopoulos, B Bonczak, CE Kontokosta
Applied Energy 221, 576-586, 2018
312018
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
312018
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
232019
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
202016
Human Behavior and Energy Consumption in Buildings: An Integrated Agent-Based Modeling and Building Performance Simulation Framework
E Azar, S Papadopoulos, A Dhabi
Proceedings of the 15th IBPSA Conference, San Francisco, USA, 2017
32017
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
32017
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
22020
The impact of mandatory energy audits on building energy use
CE Kontokosta, D Spiegel-Feld, S Papadopoulos
Nature Energy 5 (4), 309-316, 2020
22020
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
22017
Machine Learning Applications to Advance The Field of Urban Energy Dynamics
S Papadopoulos
PQDT-Global, 2019
12019
Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments
Y Lai, S Papadopoulos, F Fuerst, G Pivo, JS Sagi, CE Kontokosta
Available at SSRN 3674539, 2020
2020
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
2020
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
2018
Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application
S Papadopoulos, WL Woon, E Azar
International Workshop on Data Analytics for Renewable Energy Integration …, 2018
2018
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
2018
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Articles 1–19