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Machine Learning and Time-Series Foundation Models for Day-Ahead Electricity Forecasting in a University Building
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 computational requirements. We benchmark statist
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