• Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning 

      Chiesa, Matteo; Bianchi, Filippo Maria; Eikeland, Odin Foldvik; Holmstrand, Inga Setså; Bakkejord, Sigurd (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-10)
      Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptions in the power distribution network. In this work, we focus on the power grid of a Norwegian community in the Arctic that experiences several faults whose sources are unknown. First, we construct a data set consisting ...
    • Detecting and Interpreting Faults in Vulnerable Power Grids with Machine Learning 

      Eikeland, Odin Foldvik; Holmstrand, Inga Setsa; Bakkejord, Sigurd; Chiesa, Matteo; Bianchi, Filippo Maria (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-10)
      Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptions in the power distribution network. In this work, we focus on the power grid of a Norwegian community in the Arctic that experiences several faults whose sources are unknown. First, we construct a data set consisting of ...
    • Enhancing Decision-making in the Electric Power Sector with Machine Learning and Optimization 

      Eikeland, Odin Foldvik (Doctoral thesis; Doktorgradsavhandling, 2023-10-23)
      <p>The electric power system infrastructure is essential for modern economies and societies, as it provides the electricity needed to power homes, businesses, and industries. It is of critical importance that the operation of the electric power system is optimized to serve the electricity demand reliably and sustainably. Advances in machine learning and optimization have enabled the potential to ...
    • Investigation of Photovoltaic Energy Yield on Tromsøya by Mapping Solar Potential in ArcGIS 

      Eikeland, Odin Foldvik (Master thesis; Mastergradsoppgave, 2019-06-13)
      To contribute to the reduction of greenhouse gas emissions, energy production from renewable energy resources should be markedly increased to supply the rising global energy demand (Marchant, 2018). This thesis investigates the solar energy potential in Tromsø which is used as a basis for estimating total energy yield from photovoltaic (PV) systems on rooftops. The energy yield is compared against ...
    • Rethinking the role of solar energy under location specific constraints 

      Eikeland, Odin Foldvik; Apostoleris, Harry; Santos, Sergio; Ingebrigtsen, Karoline; Boström, Tobias; Chiesa, Matteo (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-22)
      In this manuscript we evaluate the potential of photovoltaic systems to meet some dedicated energy demand in specific geographic locations. Our approach is based on location-specific constraints rather than on pre-established, location-independent methodologies or assumptions. First, we propose that a thorough analysis of the socio-economic and technical possibilities of a location must act as the ...
    • Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case 

      Chiesa, Matteo; Bianchi, Filippo Maria; Eikeland, Odin Foldvik; Holmstrand, Inga Setså; Bakkejord, Sigurd; Santos, Sergio (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-03)
      Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific power grid in the Arctic region of Northern Norway. First, we collected data pertaining to the grid topology, the topography of the area, the historical meteorological data, and the historical energy consumption/production data. ...