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Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study.
Avisek Naug
Marcos Quiñones-Grueiro
Gautam Biswas
Published in:
CCTA (2022)
Keyphrases
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reinforcement learning
supervisory control
discrete event
data acquisition
power grid
function approximation
real time
multi agent
dynamic systems
multi agent reinforcement learning
control system
low cost
communication networks
complex domains
control architecture