On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves

A Serani, P Dragone, F Stern, M Diez - Ocean engineering, 2023 - Elsevier
In order to guarantee the safety of payload, crew, and structures, ships must exhibit good
seakeeping, maneuverability, and structural-response performance, also when they operate …

Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition

M Diez, A Serani, EF Campana, F Stern - Journal of Ocean Engineering …, 2022 - Springer
A data-driven and equation-free approach is proposed and discussed to forecast responses
of ships maneuvering in waves, based on the dynamic mode decomposition (DMD). DMD is …

Granger Causality for prediction in Dynamic Mode Decomposition: Application to power systems

R Gunjal, SS Nayyer, SR Wagh, AM Stankovic… - Electric Power Systems …, 2023 - Elsevier
The dynamic mode decomposition (DMD) technique extracts the dominant modes
characterizing the innate dynamical behavior of the system within the measurement data …

A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow

A Hajisharifi, M Girfoglio, A Quaini, G Rozza - Finite Elements in Analysis …, 2024 - Elsevier
The simulation of atmospheric flows by means of traditional discretization methods remains
computationally intensive, hindering the achievement of high forecasting accuracy in short …

A dynamic mode decomposition extension for the forecasting of parametric dynamical systems

F Andreuzzi, N Demo, G Rozza - SIAM Journal on Applied Dynamical Systems, 2023 - SIAM
Dynamic mode decomposition (DMD) has recently become a popular tool for the
nonintrusive analysis of dynamical systems. Exploiting proper orthogonal decomposition …

Smart building energy management: Load profile prediction using machine learning

G Revati, J Hozefa, S Shadab, A Sheikh… - … on Control and …, 2021 - ieeexplore.ieee.org
Smart buildings are gaining popularity with the surfacing trend of smart grid and smart city.
Effective energy management is a major aspect of the smart building management system …

Streaming dynamic mode decomposition for short‐term forecasting in wind farms

J Liew, T Göçmen, WH Lio, GC Larsen - Wind Energy, 2022 - Wiley Online Library
Forecasting in wind energy is a crucial task to perform adequate wind farm flow control or to
participate in the energy market. While many power forecasting methods exist, it is …

[HTML][HTML] Analysis of aggregated load consumption forecasting in short, medium and long term horizons using dynamic mode decomposition

MC Muñoz, MA Peñalba, AES González - Energy Reports, 2024 - Elsevier
In response to the growing need for precise energy demand forecasting in distribution grids,
this study examines the effectiveness of the Dynamic Mode Decomposition (DMD) algorithm …

Determination of dominant oscillation section in power system based on MSSA algorithm and dissipated energy

M Yu, S Zhang, J Sun, B Song - Electric Power Systems Research, 2024 - Elsevier
The identification of dominant oscillation paths is one of the key aspects in studying the
stability of inter-area power grids. This paper proposes an improved multi-channel singular …

A case study of spatiotemporal forecasting techniques for weather forecasting

SS Sofi, I Oseledets - GeoInformatica, 2024 - Springer
The majority of real-world processes are spatiotemporal, and the data generated by them
exhibits both spatial and temporal evolution. Weather is one of the most essential processes …