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On Designing Data Models for Energy Feature Stores [article]

Gregor Cerar, Blaž Bertalanič, Anže Pirnat, Andrej Čampa, Carolina Fortuna
2022 arXiv   pre-print
We first propose a taxonomy for designing data models suitable for energy applications, analyze feature engineering techniques able to transform the data model into features suitable for ML model training  ...  and finally also analyze available designs for feature stores.  ...  anomaly detection.  ... 
arXiv:2205.04267v1 fatcat:m7vzmp4hv5hrvaryj4hnhkehsa