Daan Scheepens
YOU?
Author Swipe
View article: The changing landscape of text mining: a review of approaches for ecology and evolution
The changing landscape of text mining: a review of approaches for ecology and evolution Open
In ecology and evolutionary biology, the synthesis and modelling of data from published literature are commonly used to generate insights and test theories across systems. However, the tasks of searching, screening, and extracting data fro…
View article: Large language models help facilitate the automated synthesis of information on potential pest controllers
Large language models help facilitate the automated synthesis of information on potential pest controllers Open
The body of ecological literature, which informs much of our knowledge of the global loss of biodiversity, has been experiencing rapid growth in recent decades. The increasing difficulty of synthesising this literature manually has simulta…
View article: The changing landscape of text mining - a review of approaches for ecology and evolution
The changing landscape of text mining - a review of approaches for ecology and evolution Open
In ecology and evolutionary biology, synthesis and modelling of data from published literature is a common practice for generating insight and testing theories across systems. However, the tasks of searching, screening, and extracting data…
View article: Large language models help facilitate the automated synthesis of information on potential pest controllers
Large language models help facilitate the automated synthesis of information on potential pest controllers Open
The body of ecological literature, which informs much of our knowledge of the global loss of biodiversity, has been experiencing rapid growth in recent decades. The increasing difficulty to synthesise this literature manually has simultane…
View article: Spatio-temporal nowcasting using a deep convolutional RNN model with imbalanced regression loss accounting for extreme wind speed events
Spatio-temporal nowcasting using a deep convolutional RNN model with imbalanced regression loss accounting for extreme wind speed events Open
The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and to mitigate fees in energy trading, ac…
View article: Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range
Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range Open
The number of wind farms and amount of wind power production in Europe, both on- and offshore, have increased rapidly in the past years. To ensure grid stability and on-time (re)scheduling of maintenance tasks and to mitigate fees in energ…
View article: Reply on RC2
Reply on RC2 Open
Abstract. The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trad…
View article: Reply on RC1
Reply on RC1 Open
Abstract. The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trad…
View article: Comment on egusphere-2022-599
Comment on egusphere-2022-599 Open
Abstract. The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trad…
View article: An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications Open
The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trading, accur…
View article: An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications Open
<p>The amount of wind farms and wind power production in Europe, both on- and off-shore, increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trading, …
View article: A deep CNN model for medium-range spatio-temporal wind speed prediction for wind energy applications
A deep CNN model for medium-range spatio-temporal wind speed prediction for wind energy applications Open
<p>The amount of wind farms and wind power production in Europe, on-shore and off-shore, increased rapidly in the past years. To ensure grid stability, omit fees in energy trading, and on-time (re)scheduling of maintenance tasks accu…