Blar i NTNU Open på forfatter "Mølnå, Martin"
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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 ... -
Performing reproductions to understand the state of reproducibility in current AI research
Mølnå, Martin; Cappelen, Odd (Master thesis, 2018)In the last few years, the issue of reproducibility has gained increased attention in many scientific fields, including Artificial Intelligence (AI). Reproducibility of published results is a key concept of the scientific ... -
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses
Grotmol, Gunnar Grung; Furdal, Eivind Hovdegård; Dalal, Nisha; Ottesen, Are Løkken; Rørvik, Ella-Lovise Hammervold; Mølnå, Martin; Sizov, Gleb Valerjevich; Gundersen, Odd Erik (Chapter, 2023)Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead ...