• Passive learning to address nonstationarity in virtual flow metering applications 

      Hotvedt, Mathilde; Grimstad, Bjarne Andre; Imsland, Lars Struen (Peer reviewed; Journal article, 2022)
      Steady-state process models are common in virtual flow meter applications due to low computational complexity, and low model development and maintenance cost. Nevertheless, the prediction performance of steady-state models ...