• A supervised learning approach for optimal selection of bidding strategies in reservoir hydro 

      Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)
      Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ...
    • A supervised learning approach for optimal selection of bidding strategies in reservoir hydro 

      Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)
      Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ...
    • Validating the SHARM model 

      Aasgård, Ellen Krohn; Bolkesjø, Tor Halvor; Johnsen, Rita Iren; Kristiansen, Fredd; Larsen, Tellef Juell; Riddervold, Hans Ole; Røynstrand, Jarand; Soknes, Dan; Skjelbred, Hans Ivar (SINTEF Energi. Rapport;TR A7521, Research report, 2015)