Probabilistic deep learning models using multimodal building and weather data deliver 18.8% and 27.6% lower RMSE than ResStock for building-level heating and electricity forecasts, with 59% better WIS.
Comstock reference documentation: 2024 release 1,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.GN 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
Probabilistic deep learning models using multimodal building and weather data deliver 18.8% and 27.6% lower RMSE than ResStock for building-level heating and electricity forecasts, with 59% better WIS.