• The combined impact of stochastic and correlated activity durations and design uncertainty on project plans 

      Kaut, Michal; Vaagen, Hajnalka; Wallace, Stein William (Peer reviewed; Journal article, 2020)
      Most model based studies on project uncertainty investigate a single source of uncertainty, with a dominant focus on stochastic activity durations. However, another major uncertainty facing engineering projects is that of ...
    • Hydropower Bidding in a Multi-Market Setting 

      Fleten, Stein-Erik; Kaut, Michal; Midthun, Kjetil Trovik; Pérez-Valdés, Gerardo A (Peer reviewed; Journal article, 2018)
      We present a literature survey and research gap analysis of mathematical and statistical methods used in the context of optimizing bids in electricity markets. Particularly, we are interested in methods for hydropower ...
    • On scenario construction for stochastic shortest path problems in real road networks 

      Zhang, Dongqing; Wallace, Stein William; Guo, Zhaoxia; Dong, Yucheng; Kaut, Michal (Peer reviewed; Journal article, 2021)
      Stochastic shortest path (SSP) computations are often performed under very strict time constraints, so computational efficiency is critical. A major determinant for the CPU time is the number of scenarios used. We demonstrate ...
    • Optimising Nurse Staffing at the Emergency Department of Ålesund Sykehus 

      Goday Verdaguer, Aina; Kaut, Michal; Valgermo, Anne Sofie; Dybvik, Elin K. Molvær; Pedersen, Nina Margrete (SINTEF Rapport;2024:00041, Research report, 2024)
      This report summarises the initiatives undertaken in the Emergency Department (ED) of Ålesund sykehus to enhance patient care and theworkday for nurses. The objective was two-fold and involved addressing nurse understaffing ...
    • Patient-tailored levothyroxine dosage with pharmacokinetic/pharmacodynamic modeling: A novel approach after total thyroidectomy 

      Brun, Vegard Heimly; Eriksen, Amund H.; Selseth, Ruth; Johansson, Kenth; Vik, Renate; Davidsen, Benedicte; Kaut, Michal; Hellemo, Lars (Peer reviewed; Journal article, 2021)
    • Scenario generation by selection from historical data 

      Kaut, Michal (Peer reviewed; Journal article, 2021)
      In this paper, we present and compare several methods for generating scenarios for stochastic-programming models by direct selection from historical data. The methods rangefromstandardsamplingandk-means,throughiteratives ...
    • Simulation of multi-market trading : a case study 

      Fodstad, Marte; Kaut, Michal (SINTEF Rapport;2019:01000, Research report, 2019)
      This report describes a study of day-ahead (DA) and intraday (ID) trade for a hydropower producer with a single reservoir and power plant. The study simulates the trade decisions and plant operation in a rolling-horizon ...
    • Stochastic energy market equilibrium modeling with multiple agents 

      Brekke, Kjell Arne; Golombek, Rolf; Kaut, Michal; Kittelsen, Sverre A.C.; Wallace, Stein W. (Journal article; Peer reviewed, 2017)
      The energy markets are characterized by many agents simultaneously solving decision problems under uncertainty. It is argued that Monte Carlo simulations are not an adequate way to assess behavioral uncertainty; one should ...
    • Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function 

      Guo, Zhaoxia; Wallace, Stein William; Kaut, Michal (Peer reviewed; Journal article, 2019)
      We study how to model and handle correlated travel times in two-stage stochastic vehicle-routing problems. We allow these travel times to be correlated in time and space; that is, the travel time on one link in one period ...