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

• المؤلفون الرئيسيون: Yang, Shiyu, Wan, Man Pun, Chen, Wanyu, Ng, Bing Feng, Dubey, Swapnil
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Mechanical engineering; Model Predictive Control; Machine-Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160297

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...