Machine learning and time-series foundation models benchmarked for day-ahead electricity forecasting in a university building
Read the original at arxiv.org→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...
Original headline: "Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building"
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- Oct 12, 04:00 UTC arXiv cs.LG lead source Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building