Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building
The results support pretrained TimesFM as a strong initial forecasting baseline for this building, with XGBoost as a competitive locally fitted alternative as a competitive locally fitted alternative.
A. Vasulkar, S. K. Freire, Arie-Willem de Leeuw et al.
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