• Towards automatic generation of image recognition models for industrial robot arms 

      Arnarson, Halldor; Bremdal, Bernt Arild; Hanssen, Magnus Fredheim (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-12)
      As the world moves towards mass customization, there is a need for a manufacturing system that can quickly adapt to market changes. Reconfigurable manufacturing systems (RMS) have been proposed as a solution. RMS is designed to be modular with a high degree of flexibility. However, such a structure creates a lot of complexity. For instance, if the modules are moved or changed, the robot arms in the ...
    • Towards smart layout design for a reconfigurable manufacturing system 

      Arnarson, Halldor; Yu, Hao; Olavsbråten, Morten Monland; Bremdal, Bernt Arild; Solvang, Bjørn (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-02)
      Global competition and increased variety in products have created challenges for manufacturing companies. One solution to handle the variety in production is to use reconfigurable manufacturing systems (RMS). These are modular systems where machines can be rearranged depending on what is being manufactured. However, implementing a rearrangeable system drastically increases complexity, among which ...
    • Using Deep Learning Methods to Monitor Non-Observable States in a Building 

      Tangrand, Kristoffer; Bremdal, Bernt Arild (Conference object; Konferansebidrag, 2020-02-06)
      This paper presents results from ongoing research with a goal to use a combination of time series from non-intrusive ambient sensors and deep recurrent neural networks to predict room usage at a university campus. Training data was created by collecting measurements from ambient sensors measuring room CO2, humidity, temperature, light, motion and sound, while the ground-truth counts was created ...
    • Using Light Weight Electric Vehicles for V2G services in the Arctic 

      Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-06)
      The proposed paper documents research carried out in the Smart Charge project. This project has investigated the use of electric snowmobiles for V2G purposes. Electric snowmobiles and ATVs have been introduced in remote areas in the Arctic to replace the fossil fuelled vehicles that dominate today. Electric versions of these can add extra loads to the local electricity grid. But they can also be ...
    • Utilizing Local Flexibility Resources to Mitigate Grid Challenges at Electric Vehicle Charging Stations 

      Ilieva, Iliana; Bremdal, Bernt Arild (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-12)
      Charging of electric vehicles (EVs) on a large scale can cause problems for the grid. Utilizing local flexibility resources, such as smart charging, stationary battery, vehicle-to-grid applications, and local generation can be an efficient way to contain the grid challenges and mitigate the need for grid reinforcement. Focusing on the INSPIRIA charging station located in Norway, this paper investigates ...