• Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches 

      Tiwari, Shweta; Bell, Gavin; Langseth, Helge; Ramampiaro, Heri (Peer reviewed; Journal article, 2022)
      Detecting potential manipulations by monitoring trading activities in the electricity market is a time- consuming and challenging task despite the involvement of experienced market surveillance experts. This is due to the ...
    • Large-scale Offshore Wind Development and Decarbonization Pathways of the Norwegian Energy System 

      Reulein, Dana; Tiwari, Shweta; Hestvik, Birk; Kvannli, Aleksander; Pinel, Dimitri; Andresen, Christian Andre; Farahmand, Hossein (Chapter; Conference object, 2023)
      Modelling of the energy system in the countries surrounding the North Sea is performed with a focus on Norway and offshore wind farms situated in the North Sea. The geographically heterogeneous consumption and production ...
    • Machine Learning in Financial Market Surveillance: A Survey 

      Tiwari, Shweta; Ramampiaro, Heri; Langseth, Helge (Peer reviewed; Journal article, 2021)
      The use of machine learning for anomaly detection is a well-studied topic within various application domains. However, the detection problem for market surveillance remains challenging due to the lack of labeled data and ...