• A Building Automation and Control micro-service architecture using Physics Inspired Neural Networks 

      Maree, Johannes Philippus; Bagle, Marius (Peer reviewed; Journal article, 2022)
      In this work, we present a micro-service architecture which defines a Digital Twin (DT) framework for adaptive building automation and control. The DT framework primarily involves the orchestration of several containerized ...
    • EMS2aaS: A Dockerized framework for remote EMS deployment 

      Marafioti, Giancarlo; Fossøy, Synne; Maree, Johannes Philippus; Sperstad, Iver Bakken (Chapter; Peer reviewed, 2021)
      Energy Management Systems (EMSs) are software tools that support the grid operators to monitor, control and optimize generation, transmission/distribution, and loads in a electrical grid. Microgrids (“small scale” grids) ...
    • Low-complexity Risk-averse MPC for EMS 

      Maree, Johannes Philippus; Gros, Sebastien; Lakshmanan, Venkatachalam (Chapter; Peer reviewed, 2021)
      A data-driven stochastic MPC strategy is presented as an EMS for the Skagerak Energilab microgrid. Uncertainties, introduced due to the intermittent nature of RES and load demands, are systematically incorporated into the ...
    • A Model Predictive Control Volt/VAr Management System for the Froan network 

      Maree, Johannes Philippus; Zaferanlouei, Salman (Chapter, 2021)
      This work presents a Volt/VAr Management System, based on a Model Predictive Control strategy, which can be applied for managing dynamic network resilience. Dynamic network resilience, in this context, is associated with ...