世界模型

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC

强化学习与模型预测控制在住宅暖通空调中的现场对比部署

Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer, Bingqing Chen, Guannan Qu, Kevin J. Kircher, Mario Bergés

机构 * College of Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA ； Wilton E. Scott Institute for Energy Innovation, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA ； Center for High Performance Buildings, Purdue University, 177 S Russell St, West Lafayette, IN 47907, USA ； Trane Technologies, Residential R\&D Group, 6200 Troup Hwy, Tyler, TX 75707, USA ； Bosch Center for Artificial Intelligence 纠错

专题命中 模型式强化学习 ：model-based RL(abstract)；分类 cs.LG

AI总结 研究对比强化学习与模型预测控制应用于住宅暖通空调的情况，通过在寒冷气候住宅中各部署一个月，对比两者节能效果、居住者舒适度及数据需求等，发现RL节能略优、部署工作量少但面临初始化等困难。

Comments 26 pages, 9 figures, 5 tables. Under review for Applied Energy