CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
Robust generalization under climate change remains a major challenge for machine learning applications in climate science. Most existing approaches struggle to extrapolate beyond the climate they were trained on, leading to a strong dependence on trai
Authors
- Paul A. O’Gorman (ORCID: https://orcid.org/0000-0003-1748-0816)
- Shuchang Liu (ORCID: https://orcid.org/0000-0003-4017-3224)
Institutions
- Moscow Institute of Thermal Technology (RU)
- Massachusetts Institute of Technology (US)
Publication Details
- Published
- 2025-08-29
- DOI
- https://doi.org/10.22541/essoar.175648188.89101116/v1
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Climate Extremes