Blar i USN Open Archive på forfatter "Vesin, Boban"

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    • The Aggregator as a Storage Provider 

      Berntzen, Lasse; Meng, Qian; Johannessen, Marius Rohde; Vesin, Boban; Brekke, Thomas; Laur, Inessa (Chapter, 2021)
      The energy transition from fossil resources to integration of more renewables such as solar and wind has become the focus in the energy strategies of many countries. The time difference between solar energy production and ...

    • Applications of learning analytics in High Schools: A systematic literature review 

      de Sousa, Erverson B. G.; Alexandre, Bruno; Ferreira Mello, Rafael; Pontual Falcão, Taciana; Vesin, Boban; Gašević, Dragan (Peer reviewed; Journal article, 2021)
      Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its ...

    • Blockchain for Smart Grid Flexibility - Handling Settlements Between the Aggregator and Prosumers 

      Berntzen, Lasse; Meng, Qian; Vesin, Boban; Johannessen, Marius Rohde; Brekke, Thomas; Laur, Inessa (Peer reviewed; Journal article, 2021)
      This paper shows how the Ethereum blockchain can register settlements between an aggregator and prosumers in a smart grid. By providing flexible use of electricity to the aggregator, customers get rewarded. The flexibility ...

    • Challenges and opportunities of multimodal data in human learning: The computer science students' perspective 

      Mangaroska, Katerina; Vesin, Boban; Martinez‐Maldonado, Roberto; Gašević, Dragan (Peer reviewed; Journal article, 2021)
      Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current ...

    • Gab-SSDS: An AI-Based Similar Days Selection Method for Load Forecast 

      Janković, Zoran; Vesin, Boban; Selakov, Aleksander; Berntzen, Lasse (Peer reviewed; Journal article, 2022)
      The important, while mostly underestimated, step in the process of short-term load forecasting–STLF is the selection of similar days. Similar days are identified based on numerous factors, such as weather, time, electricity ...

    • Intelligent techniques in e-learning: a literature review 

      Ilić, Miloš; Mikić, Vladimir; Kopanja, Lazar; Vesin, Boban (Peer reviewed; Journal article, 2023)
      Online learning has become increasingly important, having in mind the latest events, imposed isolation measures and closed schools and campuses. Consequently, teachers and students need to embrace digital tools and platforms, ...

    • Learning in Smart Environments: User-centered Design and Analytics of an Adaptive Learning System 

      Vesin, Boban; Mangaroska, Katerina; Giannakos, Michail (Journal article; Peer reviewed, 2018)
      The complexity of today’s learning processes and practices entails various challenges. It is becoming much harder for teachers to observe, control, and adjust the learning process. Moreover, contemporary teaching is enhanced ...

    • Students’ Perceptions of ILS as a Learning-Style-Identification Tool in E-Learning Environments 

      Marosan, Zoran; Savic, Ninoslava; Klasnja-Milicevic, Aleksandra; Ivanovic, Mirjana; Vesin, Boban (Journal article; Peer reviewed, 2022)
      This paper presents the evaluation of the Index of Learning Styles, an assessment tool of the Felder–Silverman learning model. A few studies have previously evaluated this tool, but as far as we know, none of them considered ...

    • User Sentiments Towards Smart Grid Flexibility - A survey of early adopters' attitude towards allowing third parties to control electricity use in households 

      Johannessen, Marius Rohde; Berntzen, Lasse; Vesin, Boban; Meng, Qian; Brekke, Thomas; Laur, Inessa (Peer reviewed; Journal article, 2021)
      In this paper, we present the findings from a pilot survey on attitudes towards incentives for allowing third parties to control electricity use in households as part of the change to smart, green, and sustainable power ...

    • Vehicle to Grid and Crisis Management - Potential of V2G for Smart City Power Grids in Norway 

      Johannessen, Marius Rohde; Berntzen, Lasse; Vesin, Boban; Meng, Qian; Brekke, Thomas; Laur, Inessa (Peer reviewed; Journal article, 2021)
      Researchers and practitioners alike have discussed Vehicle-to-Grid (V2G) technology for quite some time, and we have extensive coverage of the technology needed, as well as opportunities, challenges, algorithms, and business ...