3 papers
cs.LG2025
CaberNet: Causal Representation Learning for Cross-Domain HVAC Energy Prediction
Kaiyuan Zhai, Jiacheng Cui, Zhehao Zhang +4
Cross-domain HVAC energy prediction is essential for scalable building energy management, particularly because collecting extensive labeled data for every new building is both cost…
cs.AI2025
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
Yang Deng, Yaohui Liu, Rui Liang +4
The building thermodynamics model, which predicts real-time indoor temperature changes under potential HVAC (Heating, Ventilation, and Air Conditioning) control operations, is cruc…
cs.LG2024
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning
Rui Liang, Yang Deng, Donghua Xie +2
Advances in time-series forecasting are driving a shift from conventional machine learning models to foundation models (FMs) that are trained with generalized knowledge. However, e…