About this Research Topic
The field of artificial intelligence (AI) spans a wide range of techniques and algorithms that have shown remarkable efficiency in handling complex tasks. This prowess has been harnessed across various sectors to solve real-world problems. AI's capabilities are used significantly in interdisciplinary fields like Wind Engineering. Applications in this sector have gained much attention since traditional approaches may result in difficulties in addressing different wind engineering problems. They may require complex models and a high computational burden. In addition, new sustainable requirements are changing how structures are designed and constructed. Thus making the accomplishment of the different structural requirements more difficult.
Consequently, Machine Learning (ML) methods have emerged as highly capable instruments for addressing the sector's challenges. Their use can be based on different approaches, either data-driven models or hybridizing their capabilities with traditional approaches.
Examples that include the application of AI to Wind Engineering are wind prediction for wind energy, wind impact on structures, wind farm optimization, wind turbine control, predictive maintenance, wind load prediction, data analysis in wind-induced vibrations, and surrogate models.
We want to showcase the prowess of AI-based techniques for solving different Wind Engineering problems. We want to show how the different Wind Engineering applications motivate the development of innovative AI-based models, and how cutting-edge techniques can solve different problems in the Wind Engineering field.
This Special Collection aims at finding connections between different fields and applications. We believe that through knowledge exchange, this Research Topic will significantly contribute to addressing challenges in Wind Engineering field.
We invite contributions highlighting the transformative power of artificial intelligence within the Wind Engineering sector, especially those related to civil engineering.
This Research Topic highlights cutting-edge AI methodologies and their practical applications in addressing wind engineering challenges.
Submissions should focus on the development of groundbreaking AI techniques and their innovative employment to solve problems specific to Wind Engineering problems. We highly value original research demonstrating significant advancements and novel applications in this field.
Consequently, Machine Learning (ML) methods have emerged as highly capable instruments for addressing the sector's challenges. Their use can be based on different approaches, either data-driven models or hybridizing their capabilities with traditional approaches.
Examples that include the application of AI to Wind Engineering are wind prediction for wind energy, wind impact on structures, wind farm optimization, wind turbine control, predictive maintenance, wind load prediction, data analysis in wind-induced vibrations, and surrogate models.
We want to showcase the prowess of AI-based techniques for solving different Wind Engineering problems. We want to show how the different Wind Engineering applications motivate the development of innovative AI-based models, and how cutting-edge techniques can solve different problems in the Wind Engineering field.
This Special Collection aims at finding connections between different fields and applications. We believe that through knowledge exchange, this Research Topic will significantly contribute to addressing challenges in Wind Engineering field.
We invite contributions highlighting the transformative power of artificial intelligence within the Wind Engineering sector, especially those related to civil engineering.
This Research Topic highlights cutting-edge AI methodologies and their practical applications in addressing wind engineering challenges.
Submissions should focus on the development of groundbreaking AI techniques and their innovative employment to solve problems specific to Wind Engineering problems. We highly value original research demonstrating significant advancements and novel applications in this field.
Keywords: Artificial Intelligence, Wind Engineering, Optimization, wind turbine, wind energy, wind impact, Vibrations
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
