7 Publications

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[7]
2026 | Conference Paper | LibreCat-ID: 65811
D. R. Zapata Gonzalez, “A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support,” 2026.
LibreCat
 
[6]
2026 | Conference Paper | LibreCat-ID: 65815
K. Zalipski, D. R. Zapata Gonzalez, and O. Müller, “Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning,” 2026.
LibreCat
 
[5]
2026 | Journal Article | LibreCat-ID: 65810
D. R. Zapata Gonzalez, M. Meyer, K. Zalipski, and O. Müller, “Temporal causal feature selection for robust machine learning modelling of data center operations,” Applied Energy, vol. 417, Art. no. 127984, 2026, doi: 10.1016/j.apenergy.2026.127984.
LibreCat | DOI
 
[4]
2025 | Journal Article | LibreCat-ID: 64870
M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” IEEE Access, vol. 13, pp. 218141–218153, 2025, doi: 10.1109/access.2025.3648056.
LibreCat | DOI
 
[3]
2025 | Conference Paper | LibreCat-ID: 63397 | OA
D. R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, and O. Müller, “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 3, pp. 19–31, doi: 10.1145/3777518.3777520.
LibreCat | DOI | Download (ext.)
 
[2]
2025 | Conference Paper | LibreCat-ID: 63400 | OA
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 2, pp. 4–10, doi: 10.1145/3757892.3757893.
LibreCat | DOI | Download (ext.)
 
[1]
2025 | Conference Paper | LibreCat-ID: 60680
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems,” presented at the European Conference on Information Systems, Amman, Jordan, 2025.
LibreCat | Download (ext.)
 

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7 Publications

Mark all

[7]
2026 | Conference Paper | LibreCat-ID: 65811
D. R. Zapata Gonzalez, “A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support,” 2026.
LibreCat
 
[6]
2026 | Conference Paper | LibreCat-ID: 65815
K. Zalipski, D. R. Zapata Gonzalez, and O. Müller, “Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning,” 2026.
LibreCat
 
[5]
2026 | Journal Article | LibreCat-ID: 65810
D. R. Zapata Gonzalez, M. Meyer, K. Zalipski, and O. Müller, “Temporal causal feature selection for robust machine learning modelling of data center operations,” Applied Energy, vol. 417, Art. no. 127984, 2026, doi: 10.1016/j.apenergy.2026.127984.
LibreCat | DOI
 
[4]
2025 | Journal Article | LibreCat-ID: 64870
M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” IEEE Access, vol. 13, pp. 218141–218153, 2025, doi: 10.1109/access.2025.3648056.
LibreCat | DOI
 
[3]
2025 | Conference Paper | LibreCat-ID: 63397 | OA
D. R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, and O. Müller, “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 3, pp. 19–31, doi: 10.1145/3777518.3777520.
LibreCat | DOI | Download (ext.)
 
[2]
2025 | Conference Paper | LibreCat-ID: 63400 | OA
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study,” in ACM SIGEnergy Energy Informatics Review, 2025, vol. 5, no. 2, pp. 4–10, doi: 10.1145/3757892.3757893.
LibreCat | DOI | Download (ext.)
 
[1]
2025 | Conference Paper | LibreCat-ID: 60680
D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems,” presented at the European Conference on Information Systems, Amman, Jordan, 2025.
LibreCat | Download (ext.)
 

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Citation Style: IEEE

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