Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

Investigating the relationship between interpretability and performance for optimal rule-based control

Eikichi Ono 1,2, Kuniaki Mihara 2, Takamasa Hasama 2, Yuichi Takemasa 2, Bertrand Lasternas 1, Adrian Chong 1
1 National University of Singapore, Singapore
2 Kajima Technical Research Institute Singapore, Singapore


DOI: https://doi.org/10.26868/25222708.2021.30494
Abstract: Rule-based controls need to have a small number of nodes so that designers and engineers can understand, validate, and maintain them. This paper aims to investigate the relationship between the number of nodes and control performance. Using a case study, we found that models with a large number of nodes do not always have higher control performance. Specifically, optimal rules with a small number of nodes (n = 112) can achieve a 6.2% energy savings and an 8.8% increase in thermal satisfaction rate. The performance achieved is close to that with optimization using exhaustive search while maintaining high interpretability. Therefore, when designing optimal rule-based controls, it is important to investigate the relationship and select a suitable model based on the specific conditions or requirements of projects.
Keywords: Rule-based control, optimal control, interpretability
Pages: 2562 - 2569
Paper:
bs2021_30494