Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building
arXiv:2610.12638v1 Announce Type: new Abstract: Day-ahead electricity forecasts can help building operators schedule heating, ventilation, and other services around anticipated demand. Choosing a forecasting model also requires balancing accuracy with its forecast-time inputs, local training, and c…
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- 2026-10-12 04:00 · arXiv cs.LG
Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building