David Ricardo Zapata Gonzalez

david.zapata@uni-paderborn.de
ID
105506

6 Publications

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[6]
2026 | Conference Paper | LibreCat-ID: 65811
A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support
D.R. Zapata Gonzalez, in: ECIS Conference, AIS, 2026.
LibreCat
 
[5]
2026 | Conference Paper | LibreCat-ID: 65815
Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning
K. Zalipski, D.R. Zapata Gonzalez, O. Müller, in: 2026.
LibreCat
 
[4]
2025 | Journal Article | LibreCat-ID: 64870
Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
M. Meyer, D.R. Zapata Gonzalez, S.B. Kaltenpoth, O. Müller, IEEE Access 13 (2025) 218141–218153.
LibreCat | DOI
 
[3]
2025 | Conference Paper | LibreCat-ID: 60680
Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.
LibreCat | Download (ext.)
 
[2]
2025 | Conference Paper | LibreCat-ID: 63397 | OA
Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling
D.R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 19–31.
LibreCat | DOI | Download (ext.)
 
[1]
2025 | Conference Paper | LibreCat-ID: 63400 | OA
Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 4–10.
LibreCat | DOI | Download (ext.)
 
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6 Publications

Mark all

[6]
2026 | Conference Paper | LibreCat-ID: 65811
A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support
D.R. Zapata Gonzalez, in: ECIS Conference, AIS, 2026.
LibreCat
 
[5]
2026 | Conference Paper | LibreCat-ID: 65815
Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning
K. Zalipski, D.R. Zapata Gonzalez, O. Müller, in: 2026.
LibreCat
 
[4]
2025 | Journal Article | LibreCat-ID: 64870
Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
M. Meyer, D.R. Zapata Gonzalez, S.B. Kaltenpoth, O. Müller, IEEE Access 13 (2025) 218141–218153.
LibreCat | DOI
 
[3]
2025 | Conference Paper | LibreCat-ID: 60680
Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.
LibreCat | Download (ext.)
 
[2]
2025 | Conference Paper | LibreCat-ID: 63397 | OA
Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling
D.R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 19–31.
LibreCat | DOI | Download (ext.)
 
[1]
2025 | Conference Paper | LibreCat-ID: 63400 | OA
Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 4–10.
LibreCat | DOI | Download (ext.)
 
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