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LBC: Learning Building Control
Apr 10, 2022, 18:00 PM
LBC encompasses the source code and data to reproduce and extend results for a manuscript
that compares demand-responsive control schemes for multizone buildings. It includes
examples of model predictive control, value function approximation via CVXPYLAYERS,
and differentiable predictive control. The goal of the study is to evaluate state-of-the-art
controllers and establish the efficacy (if any) of learning-based approaches that
leverage deep neural networks in one way or another.
Title :
LBC: Learning Building Control
Url :
https://github.com/NREL/learning-building-control
Software Id :
73290
Categories :
- Buildings
- Jupyter
- Python
- Software Categories
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Last Updated July 8, 2025