|
|
|
|
|
Morten Borup, Henrik Madsen, Morten Grum and Peter Steen Mikkelsen
To prevent online models diverging from reality they need to be updated to current conditions using observations and data assimilation techniques. A way of doing this for distributed hydrodynamic urban drainage models is to use the Ensemble Kalman Filter...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roland Löwe, Henrik Madsen and Patrick McSharry
This study evaluated methods for automated classification of rain events into groups of ?high? and ?low? spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roland Löwe, Henrik Madsen, Patrick McSharry
Pág. 1 - 13
This study evaluated methods for automated classification of rain events into groups of ?high? and ?low? spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pierre-Julien Trombe, Pierre Pinson and Henrik Madsen
Accurate wind power forecasts highly contribute to the integration of wind power into power systems. The focus of the present study is on large-scale offshore wind farms and the complexity of generating accurate probabilistic forecasts of wind power fluc...
ver más
|
|
|
|
|
|