Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control

Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control

The adoption of model predictive control (MPC) for building automation and control applications is challenged by the high hardware and software requirements to solve its optimization problem. This study proposes an approximate MPC that mimics the dynamic behaviours of MPC using the recurrent neural...

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Bibliographic Details
Main Authors: Yang, Shiyu, Wan, Man Pun, Chen, Wanyu, Ng, Bing Feng, Dubey, Swapnil
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Mechanical engineering
Model Predictive Control
Machine-Learning
Online Access:https://hdl.handle.net/10356/160297

Internet

https://hdl.handle.net/10356/160297

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