Abstract The body of ecological literature, which informs much our knowledge the global loss biodiversity, has been experiencing rapid growth in recent decades. increasing difficulty synthesising this literature manually simultaneously resulted a growing demand for automated text mining methods. Within domain deep learning, large language models (LLMs) have subject considerable attention years due to great leaps progress and wide range potential applications; however, quantitative...

Abstract. The number of wind farms and amount power production in Europe, both on- offshore, have increased rapidly the past years. To ensure grid stability on-time (re)scheduling maintenance tasks to mitigate fees energy trading, accurate predictions speed are needed. Particularly, extreme events high importance farm operators as timely knowledge these can prevent damages offer economic preparedness. This work explores possibility adapting a deep convolutional recurrent neural network...

The body of ecological literature, which informs much our knowledge the global loss biodiversity, has been experiencing rapid growth in recent decades. increasing difficulty to synthesise this literature manually simultaneously resulted a growing demand for automated text mining methods. Within domain deep learning, large language models (LLMs) have subject considerable attention years by virtue great leaps progress and wide range potential applications, however, quantitative investigation...

<p>The amount of wind farms and power production in Europe, on-shore off-shore, increased rapidly the past years. To ensure grid stability, omit fees energy trading, on-time (re)scheduling maintenance tasks accurate predictions speed is needed. Especially for prediction range +48 hours up to 2 weeks ahead at least hourly are envisioned by users. However, these either not covered high-resolution models or on a spatial temporal course...

The amount of wind farms and power production in Europe, both on- off-shore, has increased rapidly the past years. To ensure grid stability, on-time (re)scheduling maintenance tasks to mitigate fees energy trading, accurate predictions speed are needed. Furthermore, extreme events high importance farm operators as timely knowledge these can prevent damages offer economic preparedness. This is especially relevant for lowlands Austria with a very Alpine sites which more prone environmental...

<p>The amount of wind farms and power production in Europe, both on- off-shore, increased rapidly the past years. To ensure grid stability, on-time (re)scheduling maintenance tasks mitigate fees energy trading, accurate predictions speed are needed. It has become particularly important to improve short range one six hours as variability this been found pose largest operational challenges. Furthermore, extreme events high importance farm operators timely knowledge these can...

Abstract. The amount of wind farms and power production in Europe, both on- off-shore, has increased rapidly the past years. To ensure grid stability, on-time (re)scheduling maintenance tasks mitigate fees energy trading, accurate predictions speed are needed. It become particularly important to improve short range one six hours as variability this been found pose largest operational challenges. Furthermore, extreme events high importance farm operators timely knowledge these can prevent...

The amount of wind farms and power production in Europe, on-shore off-shore, increased rapidly the past years. To ensure grid stability, omit fees energy trading, on-time (re)scheduling maintenance tasks accurate predictions speed is needed. Especially for prediction range +48 hours up to 2 weeks ahead at least hourly are envisioned by users. However, these are either not covered high-resolution models or are on a spatial temporal course scale. To address this as first step we...