Low Emission Building Control with Zero-Shot Reinforcement Learning. (arXiv:2208.06385v2 [cs.LG] UPDATED)

Heating and cooling systems in buildings account for 31\% of global energy
use, much of which are regulated by Rule Based Controllers (RBCs) that neither
maximise energy efficiency nor minimise emissions by interacting optimally with
the grid. Control via Reinforcement Learning (RL) has been shown to
significantly improve building energy efficiency, but existing solutions
require access to building-specific simulators or data that cannot be expected
for every building in the world. In response, we show it is possible to obtain …

arxiv building learning lg reinforcement reinforcement learning