Blar i Brage NMBU på forfatter "Lindholm, Geir"
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DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning
Ratnaweera, Harsha; Zhang, Duo; Lindholm, Geir (Journal article, 2018) -
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Ratnaweera, Harsha; Zhang, Duo; Skullestad Hølland, Erland; Lindholm, Geir (Journal article, 2018) -
Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction
Ratnaweera, Harsha; Zhang, Duo; Lindholm, Geir; Martinez Almario, Nicolas (Journal article, 2018) -
Helhetlig optimalisering av avløpsledningsnett ved bruk av hydraulisk modellering
Hølland, Erlend Skullestad (Master thesis, 2017)Denne oppgaven har tatt for seg avløpsledningsnettet i Drammen kommune, i Buskerud fylke, og har sett på tiltak for å redusere mengden avløpsvann som går i overløp, og dermed urenset ut i resipienten. Dette ble gjort ... -
Sewer Overflow Control using Different Modeling Techniques and Internet of Things
Zhang, Duo (PhD Thesis;2019:55, Doctoral thesis, 2019)Increased urbanization and extreme rainfall events are causing more frequent instances of sewer overflow, leading to the pollution of water resources and negative environmental, health, and fiscal impacts. At the same time, ...