Peter Steen Mikkelsen
Danmarks Tekniske Universitet
H-index: 44
Europe-Denmark
Top articles of Peter Steen Mikkelsen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Temporal variations in micropollutant inlet concentrations matter when planning the design and compliance assessment of stormwater control measures | Journal of Environmental Management | Ditte Marie Reinholdt Jensen Lena Mutzner Yuansong Wei Peter Steen Mikkelsen Luca Vezzaro | 2024/4/1 |
Building a Synergistic Vision for Multi‐Objective control of WRRFs through Stakeholder Engagement | Enrico Pizzi CF Fratini AD Mishra P Ingildsen PS Mikkelsen | 2024 | |
Scientific machine learning for speeding up distributed simulations-examples and failures for urban water systems | EGU General Assembly Conference Abstracts | Roland Löwe Matthias Kjær Adamsen Phillip Aarestrup Franca Bauer Allan Peter Engsig-Karup | 2023/5 |
Christiansborg må snart afgøre, om alle danskere skal betale for sommerhusejernes kystsikring | Roland Löwe Peter Steen Mikkelsen Ole Fryd Gertrud Jørgensen Katrina Wiberg | 2023 | |
First flush assumptions in pollution management for separate stormwater systems: debunking a classical urban (drainage) myth | Ditte Marie Reinholdt Jensen Santiago Sandoval Jean-Luc Bertrand-Krajewski Peter Steen Mikkelsen Luca Vezzaro | 2022/8/22 | |
Using weather radar to improve the prediction accuracy of LSTM neural networks for anomaly detection of water level measurements in UDS | P Aarestrup PS Mikkelsen | 2022 | |
Corrected Proof | Neha Bhatt Abhilasha Mishra | 2021 | |
Classifying pollutant flush signals in stormwater using functional data analysis on TSS MV curves | Water Research | Ditte Marie Reinholdt Jensen Santiago Sandoval Jean-Baptiste Aubin Jean-Luc Bertrand-Krajewski Li Xuyong | 2022/6/15 |
Exploiting machine learning to radically change the way hydrodynamic simulations support planning and operation of smart liveable cities | M Grum R Palmitessa F Bauer R Engels M Ringelkamp | 2022 | |
Improved flood predictions by combining satellite observations, topographic information and rainfall spatial data using deep learning | EGU General Assembly Conference Abstracts | Rocco Palmitessa Oliver Gyldenberg Hjermitslev Heidi Egeberg Johansen Karsten Arnbjerg-Nielsen Peter Bauer-Gottwein | 2022/5 |
Constructing an inventory for fast screening of hydraulic and hydrologic performance of stormwater control measures | Blue-Green Systems | Sara Maria Lerer Alexandre Hallkvist Guidje Karin Margrethe Löf Drenck Camilla Christiane Jakobsen Karsten Arnbjerg-Nielsen | 2022/12/1 |
Using deep learning to combine satellite observations, topographic information and rainfall spatial data for large-scale flood predictions | R Palmitessa OG Hjermitslev HE Johansen K Arnbjerg-Nielsen P Bauer-Gottwein | 2022 | |
Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins | Water Science and Technology | AN Pedersen JW Pedersen M Borup A Brink-Kjær LE Christiansen | 2022/3/15 |
All models are wrong, but are they useful? Assessing reliability across multiple sites to build trust in urban drainage modelling | Hydrology and Earth System Sciences | Agnethe Nedergaard Pedersen Annette Brink-Kjær Peter Steen Mikkelsen | 2022/11/24 |
LAR Potentiale: Nyt screeningsværktøj | Vand & Jord | Camilla Christiane Jakobsen Sara Maria Lerer Peter Steen Mikkelsen Hjalte Jomo Danielsen Sørup | 2022 |
Hvidbog om udledning af vand fra byer | Luca Vezzaro Karsten Arnbjerg-Nielsen Peter Steen Mikkelsen | 2022 | |
A decade of monitoring micropollutants in urban wet-weather flows: What did we learn? | Water Research | Lena Mutzner Viviane Furrer Hélène Castebrunet Ulrich Dittmer Stephan Fuchs | 2022/9/1 |
Diagnosing the location of uncertainty in urban drainage models with hydrologic and hydraulic signatures: a real case study with a complex internal overflow structure | Agnethe Nedergaard Pedersen Jonas Wied Pedersen Morten Borup Annette Brink-Kjær Lasse Engbo Christiansen | 2022 | |
Digital Twins of Urban Drainage System–what about trust? | AN Pedersen A Brink-Kjær PS Mikkelsen | 2022 | |
Machine learning for anomaly detection in combined sewer systems | Rocco Palmitessa Annette Brink-Kjær Line Katrine Harder Clemmensen Morten Borup Peter Steen Mikkelsen | 2021 |
Co-Authors
