11 citations · 22 across the 6 of their papers we have counts for
6 papers
STEMS: Spatial-Temporal Enhanced Safe Multi-Agent Coordination for Building Energy Management
Huiliang Zhang, Di Wu, Arnaud Zinflou +1
Building energy management is essential for achieving carbon reduction goals, improving occupant comfort, and reducing energy costs. Coordinated building energy management faces cr…
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
Huiliang Zhang, Di Wu, Arnaud Zinflou +3
Multivariate Time Series (MTS) forecasting has a wide range of applications in both industry and academia. Recent advances in Spatial-Temporal Graph Neural Network (STGNN) have ach…
Nearest Neighbor Multivariate Time Series Forecasting
Huiliang Zhang, Ping Nie, Lijun Sun +1
Multivariate time series (MTS) forecasting has a wide range of applications in both industry and academia. Recently, spatial-temporal graph neural networks (STGNNs) have gained pop…
Adaptive Aggregation for Safety-Critical Control
Huiliang Zhang, Di Wu, Benoit Boulet
Safety has been recognized as the central obstacle to preventing the use of reinforcement learning (RL) for real-world applications. Different methods have been developed to deal w…
Meta-Reinforcement Learning for Building Energy Management System
Huiliang Zhang, Di Wu, Arnaud Zinflou +1
The building sector is one of the largest contributors to global energy consumption. Improving its energy efficiency is essential for reducing operational costs and greenhouse gas…
Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey
Huiliang Zhang, Sayani Seal, Di Wu +3
Building energy management is one of the core problems in modern power grids to reduce energy consumption while ensuring occupants' comfort. However, the building energy management…