4 papers
NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
Ting-Yu Dai, Takuya Kurihana, Wing Yee Au +1
Demand-side flexibility i.e. forecasting, shifting, and curtailing residential energy loads, depends on thermal models trusted across millions of heterogeneous buildings. Existing…
Toward a foundational thermal model for residential buildings
Ting-Yu Dai, Kingsley Nweye, Dev Niyogi +1
The building energy community lacks a foundational thermal model, i.e., a single pretrained model capable of generalizing across diverse buildings, climates, and control strategies…
PrecipDiff: Leveraging image diffusion models to enhance satellite-based precipitation observations
Ting-Yu Dai, Hayato Ushijima-Mwesigwa
A recent report from the World Meteorological Organization (WMO) highlights that water-related disasters have caused the highest human losses among natural disasters over the past…
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling
Ting-Yu Dai, Dev Niyogi, Zoltan Nagy
Urban Building Energy Modeling (UBEM) is an emerging method to investigate urban design and energy systems against the increasing energy demand at urban and neighborhood levels. Ho…