7 Publications
2026 | Conference Paper | LibreCat-ID: 65811
Zapata Gonzalez, David Ricardo. “A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support.” ECIS Conference, AIS, 2026.
LibreCat
2026 | Conference Paper | LibreCat-ID: 65815
Zalipski, Kevin, et al. Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning. 2026.
LibreCat
2026 | Journal Article | LibreCat-ID: 65810
Zapata Gonzalez, David Ricardo, et al. “Temporal Causal Feature Selection for Robust Machine Learning Modelling of Data Center Operations.” Applied Energy, vol. 417, 127984, Elsevier BV, 2026, doi:10.1016/j.apenergy.2026.127984.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 64870
Meyer, Marcel, et al. “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting.” IEEE Access, vol. 13, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 218141–53, doi:10.1109/access.2025.3648056.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63397 | 
Zapata Gonzalez, David Ricardo, et al. “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling.” ACM SIGEnergy Energy Informatics Review, vol. 5, no. 3, Association for Computing Machinery (ACM), 2025, pp. 19–31, doi:10.1145/3777518.3777520.
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2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, David Ricardo, et al. “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study.” ACM SIGEnergy Energy Informatics Review, vol. 5, no. 2, Association for Computing Machinery (ACM), 2025, pp. 4–10, doi:10.1145/3757892.3757893.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, David Ricardo, et al. Bridging the Gap between Data-Driven and Theory-Driven Modelling – Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems. 2025.
LibreCat
| Download (ext.)
7 Publications
2026 | Conference Paper | LibreCat-ID: 65811
Zapata Gonzalez, David Ricardo. “A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support.” ECIS Conference, AIS, 2026.
LibreCat
2026 | Conference Paper | LibreCat-ID: 65815
Zalipski, Kevin, et al. Predicting Heterogeneous Treatment Effects Of Building Energy Saving Retrofits Using Causal Machine Learning. 2026.
LibreCat
2026 | Journal Article | LibreCat-ID: 65810
Zapata Gonzalez, David Ricardo, et al. “Temporal Causal Feature Selection for Robust Machine Learning Modelling of Data Center Operations.” Applied Energy, vol. 417, 127984, Elsevier BV, 2026, doi:10.1016/j.apenergy.2026.127984.
LibreCat
| DOI
2025 | Journal Article | LibreCat-ID: 64870
Meyer, Marcel, et al. “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting.” IEEE Access, vol. 13, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 218141–53, doi:10.1109/access.2025.3648056.
LibreCat
| DOI
2025 | Conference Paper | LibreCat-ID: 63397 |
Zapata Gonzalez, David Ricardo, et al. “Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling.” ACM SIGEnergy Energy Informatics Review, vol. 5, no. 3, Association for Computing Machinery (ACM), 2025, pp. 19–31, doi:10.1145/3777518.3777520.
LibreCat
| DOI
| Download (ext.)
2025 | Conference Paper | LibreCat-ID: 63400 |
Zapata Gonzalez, David Ricardo, et al. “Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study.” ACM SIGEnergy Energy Informatics Review, vol. 5, no. 2, Association for Computing Machinery (ACM), 2025, pp. 4–10, doi:10.1145/3757892.3757893.
LibreCat
| DOI
| Download (ext.)
2025 | Conference Paper | LibreCat-ID: 60680
Zapata Gonzalez, David Ricardo, et al. Bridging the Gap between Data-Driven and Theory-Driven Modelling – Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems. 2025.
LibreCat
| Download (ext.)