• NSGA III for CNC End Milling Process Optimization 

      Ghosh, Tamal; Martinsen, Kristian (Peer reviewed; Journal article, 2020)
      Computer Numerical Controlled (CNC) end milling processes require very complex and expensive experimentations or simulations to measure the overall performance due to the involvement of many process parameters. Such problems ...
    • A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway 

      Xue, Kai; Ding, Yiyu; Yang, Zhirong; Nord, Natasa; Barillec, Mael Roger Albert; Mathisen, Hans Martin; Liu, Meng; Giske, Tor Emil; Stenstad, Liv-Inger; Cao, Guangyu (Peer reviewed; Journal article, 2020)
      Hospitals are one of the most energy-consuming commercial buildings in many countries as a highly complex organization because of a continuous energy utilization and great variability of usage characteristic. With the ...