• Anomaly Detection in Smart Meter Data using BiLSTMGAN and Performance Analysis in Fog Network 

      Sommerli, Martin (Master thesis, 2022)
      In recent years, the introduction of Smart Grids has provided us with access to a new layer of energy consumption patterns. This new layer of consumption could be analyzed to boost efficiency, prevent power loss, and ...
    • Anomaly Detection of Smart Meter Data 

      Maatug, Fadwa (Master thesis, 2021)
      Presently, households and buildings use almost one-third of total energy consumption among all the power consumption sources. This trend is continuing to rise as more and more buildings install smart meter sensors and ...
    • Anvendelse av Grafalgoritme i Smart Strømnett 

      Karlsen, Markus Fenne; Ok, Enes (Bachelor thesis, 2022)
      Rituka Jaiswal og Reggie Davidrajuh utviklet en grafalgoritme for å finne Steinertrær i MATLAB programmeringsspråket. Algoritmen de utviklet kalles Jaiswal & Davidrajuhs algoritme. Dette prosjektet angår realisering, ...
    • Anvendelse av Grafalgoritme i Smart Strømnett 

      Karlsen, Markus Fenne; Ok, Enes (Bachelor thesis, 2022)
      Rituka Jaiswal og Reggie Davidrajuh utviklet en graf algoritme for å finne Steiner tre i kodespråket MATLAB . Algoritmen calles Jaiswal & Davidrajuh’s algorithm. Dette prosjektet dreier seg om virkeliggjøring, imple- mentering ...
    • Fog Computing for Realizing Smart Neighborhoods in Smart Grids 

      Jaiswal, Rituka; Davidrajuh, Reggie; Chunming, Rong (Peer reviewed; Journal article, 2020-09)
      Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet ...