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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
Y Fu, D Liu, J Chen, L He - Artificial Intelligence Review, 2024 - Springer
This study introduces a novel population-based metaheuristic algorithm called secretary bird
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …
optimization algorithm (SBOA), inspired by the survival behavior of secretary birds in their …
[HTML][HTML] Advances in fault condition monitoring for solar photovoltaic and wind turbine energy generation: A review
Renewable energy-based power generation technologies are becoming more and more
popular since they represent alternative solutions to the recent economic and environmental …
popular since they represent alternative solutions to the recent economic and environmental …
Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management
As electric vehicles (EVs) continue to rise in popularity, there has been an intensified focus
on the distribution of power within hybrid renewable energy systems. In this context, the …
on the distribution of power within hybrid renewable energy systems. In this context, the …
Multi-objective optimization model for railway heavy-haul traffic: Addressing carbon emissions reduction and transport efficiency improvement
This paper establishes a multi-objective optimization model for railway heavy-haul trains,
focusing on reducing carbon emissions and improving transport efficiency. The model …
focusing on reducing carbon emissions and improving transport efficiency. The model …
Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems
Alternative energy sources are needed for a sustainable world due to rapidly increasing
energy consumption, fossil fuels, and greenhouse gases worldwide. A hybrid renewable …
energy consumption, fossil fuels, and greenhouse gases worldwide. A hybrid renewable …
A chaotic local search-based particle swarm optimizer for large-scale complex wind farm layout optimization
Wind energy has been widely applied in power generation to alleviate climate problems.
The wind turbine layout of a wind farm is a primary factor of impacting power conversion …
The wind turbine layout of a wind farm is a primary factor of impacting power conversion …
A two-stage anomaly decomposition scheme based on multi-variable correlation extraction for wind turbine fault detection and identification
Effective condition monitoring is critical to improve the reliability and reduce unplanned
downtime of wind turbines (WTs). Supervisory control and data acquisition (SCADA) data …
downtime of wind turbines (WTs). Supervisory control and data acquisition (SCADA) data …
Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations
Early fault diagnosis is crucial not only for ensuring the safety and efficiency of power
systems but also for averting catastrophic failures and substantial economic losses …
systems but also for averting catastrophic failures and substantial economic losses …
Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations
The ubiquitous ultra-low-frequency rotational motions have become a kind of potential
source for energy harvesting. Despite this, achieving high energy output at ultra-low …
source for energy harvesting. Despite this, achieving high energy output at ultra-low …
Wind turbine fault detection and identification through self-attention-based mechanism embedded with a multivariable query pattern
Condition monitoring (CM) of wind turbines (WTs) is commonly accepted as an effective way
to increase the availability and reduce the operation and maintenance (O&M) costs of wind …
to increase the availability and reduce the operation and maintenance (O&M) costs of wind …