Summary
How well do deep learning architectures forecast building load and temperature when data is scarce and seasons change? A side-by-side evaluation under dataset-size limits and seasonality.
Authors
Wonjun Choi, Sangwon Lee (co-first authors)
Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality
How well do deep learning architectures forecast building load and temperature when data is scarce and seasons change? A side-by-side evaluation under dataset-size limits and seasonality.