• Analysis of Future Loading Scenarios in a Norwegian LV Network 

      Degefa, Merkebu Zenebe; Sæle, Hanne; Andresen, Christian Andre (Chapter; Peer reviewed, 2019)
      This paper identifies the effect of Electric vehicles (EVs) and solar panels/photovoltaic (PVs) on the distribution grid with and without the use of demand response. A method to generate realistic profiles of EVs and PVs ...
    • Clustering and Dimensionality-reduction Techniques Applied on Power Quality Measurement Data 

      Rosenlund, Gjert Hovland; Høiem, Kristian Wang; Torsæter, Bendik Nybakk; Andresen, Christian Andre (Chapter; Peer reviewed, 2020)
      The power system is changing rapidly, and new tools for predicting unwanted events are needed to keep a high level of security of supply. Large volumes of data from the Norwegian power grid have been collected over several ...
    • Comparative Study of Event Prediction in Power Grids using Supervised Machine Learning Methods 

      Høiem, Kristian Wang; Santi, Vemund Mehl; Torsæter, Bendik Nybakk; Langseth, Helge; Andresen, Christian Andre; Rosenlund, Gjert Hovland (Chapter; Peer reviewed, 2020)
      There is a growing interest in applying machine learning methods on large amounts of data to solve complex problems, such as prediction of events and disturbances in the power system. This paper is a comparative study of ...
    • Impact of seasonal weather on forecasting of power quality disturbances in distribution grids 

      Michałowska, Katarzyna; Hoffmann, Volker; Andresen, Christian Andre (Chapter; Peer reviewed, 2020)
      Power supply disruptions, including short-time disturbances, can lead to large direct and indirect financial losses. The ability to predict the risk of these disturbances allows for preventive actions and increases the ...
    • Impact of seasonal weather on forecasting of power quality disturbances in distribution grids 

      Michałowska, Katarzyna; Hoffmann, Volker; Andresen, Christian Andre (Chapter, 2020)
      Power supply disruptions, including short-time disturbances, can lead to large direct and indirect financial losses. The ability to predict the risk of these disturbances allows for preventive actions and increases the ...
    • Incipient Fault Prediction in Power Quality Monitoring 

      Hoffmann, Volker; Michalowska, Katarzyna; Andresen, Christian Andre; Torsæter, Bendik Nybakk (Journal article; Peer reviewed, 2019)
      European and global power grids are moving towards a Smart Grid architecture. Supporting this, advanced measurement equipment such as PQAs and PMUs are being deployed. These generate vast amounts of data upon which machine ...
    • Sizing Electric Battery Storage System for Prosumer Villas 

      Andresen, Christian Andre; Sæle, Hanne; Degefa, Merkebu Zenebe (Chapter; Peer reviewed, 2020)
      This paper studies the electricity consumption of 5 villas in the south of Norway and estimates the effect of utilizing batteries as a means to reduce peak load for each villa. High-resolution field data on the consumption ...
    • Sluttrapport EarlyWarn 

      Andresen, Christian Andre (SINTEF Rapport;, Research report, 2021)
    • The value of multiple data sources in machine learning models for power system event prediction 

      Hoffmann, Volker; Klemets, Jonatan Ralf Axel; Torsæter, Bendik Nybakk; Rosenlund, Gjert Hovland; Andresen, Christian Andre (Chapter; Peer reviewed, 2021)
      We describe a method for assessing the value of additional data sources used in the prediction of unwanted events (voltage dips, earth faults) in the power system. Using this method, machine learning models for event ...