No single ML model wins year-round for student-residence energy forecasting; the proposed hypernetwork-LSTM and MiniAutoEncXGBoost do well on specific seasons and buildings.
The impact of covid-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of qatar,
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An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
No single ML model wins year-round for student-residence energy forecasting; the proposed hypernetwork-LSTM and MiniAutoEncXGBoost do well on specific seasons and buildings.