Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes DOI Creative Commons
Sheng Du, Zixin Huang, Li Jin

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(12), P. 569 - 569

Published: Dec. 12, 2024

This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, amalgamation sophisticated data analytics, machine learning, artificial intelligence has become pivotal, unlocking new horizons production efficiency, sustainability, quality assurance. Contributions to this Special Issue highlight innovative research advancements work-sampling analysis, process choreography discovery, ship scheduling maritime rescue, variability monitoring, hybrid economic emission dispatches, controlled oscillations smart structures. These studies collectively contribute body knowledge on optimization, offering practical solutions theoretical frameworks address complex challenges.

Language: Английский

Towards Energy Efficiency: Innovations in High-Frequency Converters for Renewable Energy Systems and Electric Vehicles DOI Creative Commons
Paúl Arévalo, Danny Ochoa-Correa, Edisson Villa‐Ávila

et al.

Vehicles, Journal Year: 2024, Volume and Issue: 7(1), P. 1 - 1

Published: Dec. 30, 2024

This study reviews advancements in high-frequency converters for renewable energy systems and electric vehicles, emphasizing their role enhancing efficiency sustainability. Using the PRISMA 2020 methodology, 73 high-quality studies from 2014 to 2024 were synthesized evaluate innovative designs, advanced materials, control strategies, future opportunities. Key findings reveal significant progress converter topologies, such as dual active bridge LLC resonant which enhance scalability through soft-switching. Wide-bandgap semiconductors, including silicon carbide gallium nitride, have driven improvements power density, thermal management, compactness. Advanced adaptive AI-driven methods, stability microgrids vehicle-to-grid systems. Applications photovoltaic wind demonstrate converters’ impact on improving conversion system reliability. Future opportunities focus hybrid multifunctional designs that integrate energy, storage, mobility with intelligent technologies like digital twins AI. These innovations highlight transformative potential of addressing global challenges driving sustainable transportation solutions. review offers critical insights into current pathways further research development this field.

Language: Английский

Citations

2
Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes DOI Creative Commons
Sheng Du, Zixin Huang, Li Jin

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(12), P. 569 - 569

Published: Dec. 12, 2024

This editorial discusses recent progress in data-driven intelligent modeling and optimization algorithms for industrial processes. With the advent of Industry 4.0, amalgamation sophisticated data analytics, machine learning, artificial intelligence has become pivotal, unlocking new horizons production efficiency, sustainability, quality assurance. Contributions to this Special Issue highlight innovative research advancements work-sampling analysis, process choreography discovery, ship scheduling maritime rescue, variability monitoring, hybrid economic emission dispatches, controlled oscillations smart structures. These studies collectively contribute body knowledge on optimization, offering practical solutions theoretical frameworks address complex challenges.

Language: Английский

Citations

1