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Optimizes building energy management systems (HEMS) using Deep Reinforcement Learning (DRL) specifically targeting heat pump and thermal storage control within the Modelica simulation framework.
stars
28
forks
2
This is a niche academic or research project focused on a specific laboratory setup (CoSES). With very low stars, zero velocity, and a high age, it functions as a static reference implementation rather than a living tool. While the domain of HVAC optimization is valuable, this specific codebase lacks the adoption or generality to provide a competitive moat.
TECH STACK
INTEGRATION
reference_implementation
READINESS