5 papers
Extracting transient Koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition
Zhicheng Zhang, Yoshihiko Susuki, Atsushi Okazaki
Convective features, represented here as warm bubble-like patterns, reveal essential high-level information about how short-term weather dynamics evolve within a high-dimensional s…
Experimental Realization of Koopman-Model Predictive Control for an AC-DC Converter
Shun Hirose, Shiu Mochiyama, Yoshihiko Susuki
This paper experimentally demonstrates the Koopman-Model Predictive Control (K-MPC) for a real AC-DC converter. The converter is typically modeled with a nonlinear time-variant pla…
Application of Battery Storage to Switching Predictive Control of Power Distribution Systems Including Road Heating
Chiaki Kojima, Yuya Muto, Hikaru Akutsu +2
In regions with heavy snowfall, the living environment is becoming a serious problem due to heavy snow accumulation. A road heating is an electrical device which promotes snow melt…
Sparsity-Promoting Dynamic Mode Decomposition Applied to Sea Surface Temperature Fields
Zhicheng Zhang, Yoshihiko Susuki, Atsushi Okazaki
In this paper, we leverage Koopman mode decomposition to analyze the nonlinear and high-dimensional climate systems acting on the observed data space. The dynamics of atmospheric s…
A Bidirectional Power Router for Traceable Multi-energy Management
Shiu Mochiyama, Ryo Takahashi, Yoshihiko Susuki
To address challenges in improving self-consumption of renewables and resilience in local residential power systems, the earlier work of the authors introduced a novel multi-energy…