Controlling Commercial Cooling Systems Using Reinforcement Learning

no code implementations • 11 Nov 2022 • Jerry Luo, Cosmin Paduraru, Octavian Voicu, Yuri Chervonyi, Scott Munns, Jerry Li, Crystal Qian, Praneet Dutta, Jared Quincy Davis, Ningjia Wu, Xingwei Yang, Chu-Ming Chang, Ted Li, Rob Rose, Mingyan Fan, Hootan Nakhost, Tinglin Liu, Brian Kirkman, Frank Altamura, Lee Cline, Patrick Tonker, Joel Gouker, Dave Uden, Warren Buddy Bryan, Jason Law, Deeni Fatiha, Neil Satra, Juliet Rothenberg, Mandeep Waraich, Molly Carlin, Satish Tallapaka, Sims Witherspoon, David Parish, Peter Dolan, Chenyu Zhao, Daniel J. Mankowitz

This paper is a technical overview of DeepMind and Google's recent work on reinforcement learning for controlling commercial cooling systems.

Management reinforcement-learning +1

Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning

no code implementations • 16 Sep 2022 • William Wong, Praneet Dutta, Octavian Voicu, Yuri Chervonyi, Cosmin Paduraru, Jerry Luo

Reinforcement learning (RL) techniques have been developed to optimize industrial cooling systems, offering substantial energy savings compared to traditional heuristic policies.

Hierarchical Reinforcement Learning reinforcement-learning +1

Semi-analytical Industrial Cooling System Model for Reinforcement Learning

no code implementations • 26 Jul 2022 • Yuri Chervonyi, Praneet Dutta, Piotr Trochim, Octavian Voicu, Cosmin Paduraru, Crystal Qian, Emre Karagozler, Jared Quincy Davis, Richard Chippendale, Gautam Bajaj, Sims Witherspoon, Jerry Luo

We present a hybrid industrial cooling system model that embeds analytical solutions within a multi-physics simulation.

reinforcement-learning Reinforcement Learning (RL)