• Day-Ahead Forecasting of Losses in the Distribution Network 

      Dalal, Nisha; Mølnå, Martin; Herrem, Mette; Røen, Magne; Gundersen, Odd Erik (Chapter, 2020)
      We present a commercially deployed machine learning system that automates the day-ahead nomination of the expected grid loss for a Norwegian utility company. It meets several practical constraints and issues related to, ...
    • Day-ahead forecasting of losses in the distribution network 

      Dalal, Nisha; Mølnå, Martin; Herrem, Mette; Røen, Magne; Gundersen, Odd Erik (Peer reviewed; Journal article, 2021)
      Utility companies in the Nordics have to nominate how much electricity is expected to be lost in their power grid the next day. We present a commercially deployed machine learning system that automates this day-ahead ...