A data-driven fuzzy controller adjusts a hybrid geothermal heat-pump system to changing demand rather than fixed rules, targeting comfort, energy use and ground-loop balance. Deployment evidence must be replicated across climates, buildings and tariff structures.
Key findings
- A data-driven fuzzy controller adjusts a hybrid geothermal heat-pump system to changing demand rather than fixed rules, targeting comfort, energy use and ground-loop balance. Deployment evidence must be replicated across climates, buildings and tariff structures.
Why this matters globally
This work adds internationally comparable evidence in Engineering and defines questions for replication in other populations or systems. Its global value lies in the evidence and transferable reasoning, not in a single impact score.
Thai researcher contribution
Thailand-linked authors and Kasetsart University contribute to the research network behind this work. Thai participation is identified from bibliographic affiliations and should be checked against the author list and source article.
Limitations to consider
Performance can fall under dataset shift; external validation, leakage checks, calibration and post-deployment monitoring are needed.
Verify the original sources
EnergiesRead the original article↗DOI: 10.3390/en19081979