• 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 ...
    • Non-Intrusive Data Monitoring and Analysis of Occupant Energy-Use Behaviors in Shared Office Spaces 

      Annaqeeb, Masab Khalid; Markovic, Romana; Novakovic, Vojislav; Azar, Elie (Peer reviewed; Journal article, 2020)
      A non-intrusive data collection framework is developed to analyze the desk-level occupancy and energy use patterns of occupants in shared office spaces. The framework addresses the limitations of previous studies in the ...
    • 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 ...
    • Review of multi‐domain approaches to indoor environmental perception and behaviour 

      Schweiker, Marcel; Ampatzi, Eleni; Andargie, Maedot; Andersen, Rune Korsholm; Azar, Elie; Barthelmes, Verena Marie; Berger, Christiane; Bourikas, Leonidas; Carlucci, Salvatore; Chinazzo, Giorgia; Edappilly, Lakshmi Prabha; Favero, Matteo; Gauthier, Stephanie; Jamrozik, Anja; Kane, Michael; Mahdavi, Ardeshir; Piselli, Cristina; Pisello, Anna Laura; Roetzel, Astrid; Rysanek, Adam; Sharma, Kunind; Zhang, Shengbo (Peer reviewed; Journal article, 2020)
      Building occupants are continuously exposed to multiple indoor environmental stimuli, including thermal, visual, acoustic, and air quality related factors. Moreover, personal and contextual aspects can be regarded as ...
    • The Role of Occupants in Buildings’ Energy Performance Gap: Myth or Reality? 

      Mahdavi, Ardeshir; Berger, Christiane; Amin, Hadeer; Ampatzi, Eleni; Korsholm Andersen, Rune; Azar, Elie; Barthelmes, Verena Marie; Favero, Matteo; Hahn, Jakob; Khovalyg, Dolaana; Knudsen, Henrik N.; Luna Navarro, Alessandra; Roetzel, Astrid; Sangogboye, Fisayo Caleb; Schweiker, Marcel; Taheri, Mahnameh; Teli, Despoina; Touchie, Marianne; Verbruggen, Silke (Peer reviewed; Journal article, 2021)
      Buildings’ expected (projected, simulated) energy use frequently does not match actual observations. This is commonly referred to as the energy performance gap. As such, many factors can contribute to the disagreement ...