District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning

no code implementations • 21 Dec 2021 • Peipei Yu, Hongxun Hui, Hongcai Zhang, Ge Chen, Yonghua Song

To address the above issues, we propose a model-free control strategy based on the deep reinforcement learning (DRL) without the requirement of accurate system model and uncertainty distribution.

Reinforcement Learning (RL)

Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach

no code implementations • 18 Dec 2021 • Ge Chen, Hongcai Zhang, Hongxun Hui, Yonghua Song

The integration of distributed renewable generation (DRG) in distribution networks can be effectively promoted by scheduling flexible resources such as heating, ventilation, and air conditioning (HVAC) loads.

Computational Efficiency Scheduling