• Day-Ahead Prediction of Plug-In Loads Using a Long Short-Term Memory Neural Network 

      Markovic, Romana; Azar, Elie; Annaqeeb, Masab Khalid; Frisch, Jerome; Treeck van, Christoph (Peer reviewed; Journal article, 2021)
      The aim of this work is to develop and validate a miscellaneous electric loads (MEL) predictive model that does not require occupant-wise or building-wise model training nor model adaptation while achieving competitive ...
    • Development of a Library for Building Surface Layout Simulator 

      Annaqeeb, Masab Khalid; Dziedzic, Jakub Wladyslaw; Yan, Da; Novakovic, Vojislav (Chapter; Peer reviewed, 2020)
      Available building simulation tools resort to using fixed schedules for modeling occupant behavior (OB), which does not accurately capture its nature. A significant aspect of OB is the movement and sequence of actions with ...
    • Influence of the surgical team activity on airborne bacterial distribution in the operating room with mixing ventilation system: A case study at St. Olavs Hospital 

      Annaqeeb, Masab Khalid; Zhang, Yixian; Dziedzic, Jakub Wladyslaw; Xue, Kai; Pedersen, Christoffer; Stenstad, Liv-Inger; Novakovic, Vojislav; Cao, Guangyu (Peer reviewed; Journal article, 2021)
      Background Operating rooms (ORs) have strict requirements regarding cleanliness. While existing standards concerning the ventilation and staff guidelines are theoretically sufficient to subvert the threats posed by ...
    • Modeling occupant behavior in buildings 

      Carlucci, Salvatore; De Simone, Marilena; Firth, Steven K.; Kjærgaard, Mikkel B.; Markovic, Romana; Rahaman, Mohammed Saidur; Annaqeeb, Masab Khalid; Biandrate, Silvia; Das, Anooshmita; Dziedzic, Jakub Wladyslaw; Fajilla, GIanmarco; Favero, Matteo; Ferrando, Martina; Hahn, Jakob; Han, Mengjie; Peng, Yuzhen; Salim, Flora; Schluter, Arno; Van Treeck, Christoph (Journal article; Peer reviewed, 2020)
      In the last four decades several methods have been used to model occupants' presence and actions (OPA) in buildings according to different purposes, available computational power, and technical solutions. This study reviews ...
    • Occupant-centric miscellaneous electric loads prediction in buildings using state-of-the-art deep learning methods 

      Das, Anooshmita; Annaqeeb, Masab Khalid; Azar, Elie; Novakovic, Vojislav; kjærgaard, Mikkel B. (Peer reviewed; Journal article, 2020)
      Buildings have emerged as one of the dominant sectors when it comes to worldwide energy consumption. While a large portion of this consumption is due to the Heating, Ventilation, and Air Conditioning (HVAC) loads, a ...