On two equal-sized ComStock-derived datasets differing in building-type diversity, architecture and heterogeneity affect building-energy forecast error more than model size, and fine-tuned TimesFM beats all trained-from-scratch baselines.
Openstudio: An open source integrated analysis platform
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
On two equal-sized ComStock-derived datasets differing in building-type diversity, architecture and heterogeneity affect building-energy forecast error more than model size, and fine-tuned TimesFM beats all trained-from-scratch baselines.