• Daubechies' time-frequency localization operator on Cantor type sets II 

      Knutsen, Helge (Peer reviewed; Journal article, 2022)
      We study a version of the fractal uncertainty principle in the joint time-frequency representation. Namely, we consider Daubechies' localization operator projecting onto spherically symmetric n-iterate Cantor sets with an ...
    • Davidson versus Chomsky: Om Fellesspråket 

      Knowles, Jonathan (Journal article; Peer reviewed, 2011)
      Donald Davidson og Noam Chomsky har nokså forskjellige syn på hvordan språk og kommunikasjon skal forstås, men de er enige i at forestillingen om fellesspråk, som engelsk og norsk, ikke bør spille noen rolle i denne ...
    • Davidson versus Chomsky: The case of shared language 

      Knowles, Jonathan (Journal article; Peer reviewed, 2015)
    • The Dawn of a New Era for Project Management 

      Rolstadås, Asbjørn; Johansen, Agnar (Peer reviewed; Journal article, 2021)
    • The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies 

      Sayers, Dave; Sousa-Silva, Rui; Höhn, Sviatlana; Ahmedi, Lule; Allkivi-Metsoja, Kais; Anastasiou, Dimitra; Beňuš, Štefan; Bowker, Lynne; Bytyçi, Eliot; Catala, Alejandro; Çepani, Anila; Chacón-Beltrán, Rubén; Dadi, Sami; Dalipi, Fisnik; Despotovic, Vladimir; Doczekalska, Agnieszka; Drude, Sebastian; Fort, Karën; Fuchs, Robert; Galinski, Christian; Gobbo, Federico; Gungor, Tunga; Guo, Siwen; Höckner, Klaus; Láncos, PetraLea; Libal, Tomer; Jantunen, Tommi; Jones, Dewi; Klimova, Blanka; Korkmaz, EminErkan; Maučec, Mirjam Sepesy; Melo, Miguel; Meunier, Fanny; Migge, Bettina; Mititelu, Verginica Barbu; Névéol, Aurélie; Rossi, Arianna; Pareja-Lora, Antonio; Sanchez-Stockhammer, C.; Şahin, Aysel; Soltan, Angela; Soria, Claudia; Shaikh, Sarang; Turchi, Marco; Yildirim Yayilgan, Sule; Bessa, Maximino; Cabral, Luciana; Coler, Matt; Liebeskind, Chaya; Kernerman, Ilan; Rousi, Rebekah; Prys, Cynog (Research report, 2021)
      New language technologies are coming, thanks to the huge and competing private investment fuelling rapid progress; we can either understand and foresee their effects, or be taken by surprise and spend our time trying to ...
    • Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling 

      Li, Wei; Becker, Denis Mike (Peer reviewed; Journal article, 2021)
      The availability of accurate day-ahead electricity price forecasts is pivotal for electricity market participants. In the context of trade liberalisation and market harmonisation in the European markets, accurate price ...
    • Day-Ahead Forecasting of Losses in the Distribution Network 

      Dalal, Nisha; Mølnå, Martin; Herrem, Mette; Røen, Magne; Gundersen, Odd Erik (Chapter, 2020)
      We present a commercially deployed machine learning system that automates the day-ahead nomination of the expected grid loss for a Norwegian utility company. It meets several practical constraints and issues related to, ...
    • Day-ahead forecasting of losses in the distribution network 

      Dalal, Nisha; Mølnå, Martin; Herrem, Mette; Røen, Magne; Gundersen, Odd Erik (Peer reviewed; Journal article, 2021)
      Utility companies in the Nordics have to nominate how much electricity is expected to be lost in their power grid the next day. We present a commercially deployed machine learning system that automates this day-ahead ...
    • Day-ahead inflow forecasting using causal empirical decomposition 

      Yousefi, Mojtaba; Cheng, Xiaomei; Gazzea, Michele; Wierling, August Hubert; Rajasekharan, Jayaprakash; Helseth, Arild; Farahmand, Hossein; Arghandeh, Reza (Peer reviewed; Journal article, 2022)
      It is essential to have accurate and reliable daily-inflow forecasting to improve short-term hydropower scheduling. This paper proposes a Causal multivariate Empirical mode Decomposition (CED) framework as a complementary ...
    • Day-ahead market bidding taking the balancing power market into account 

      Klæboe, Gro; Braathen, Jørgen; Eriksrud, Anders Lund; Fleten, Stein-Erik (Journal article; Peer reviewed, 2022)
    • 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 ...
    • Daylight Transport Systems for Buildings at High Latitudes 

      Obradovic, Biljana; Matusiak, Barbara Szybinska (Journal article; Peer reviewed, 2019)
      This paper is a literature study of daylight transport systems aiming at selecting the most appropriate ones for application at high latitudes. It is limited to the systems that transport light at a long distance from the ...
    • Daylight, view and fresh air in energy-efficient housing 

      Wågø, Solvår Irene; Støa, Eli (Journal article; Peer reviewed, 2013)
    • Daylight: What makes the difference? 

      Knoop, Martine; Stefani, Oliver; Bueno, Bruno; Matusiak, Barbara Szybinska; Hobday, Rickard; Wirz-Justice, Anne; Martiny, Klaus; Kantermann, Thomas; Aarts, MPJ; Zemmouri, N; Appelt, S; Norton, B (Journal article; Peer reviewed, 2019)
      Light is necessary for vision; it enables us to sense and perceive our surroundings and in many direct and indirect ways, via eye and skin, affects our physiological and psychological health. The use of light in built ...
    • Daylighting availability in a living laboratory single family house and implication on electric lighting energy demand 

      Lobaccaro, Gabriele; Esposito, Simona; Goia, Francesco; Perino, Marco (Journal article; Peer reviewed, 2017)
      This study aims to analyze the correlation between daylight availability and the use of artificial light in a residential building in Nordic climate. Experimental data and numerical simulations are used to compare artificial ...
    • Days of Rage: Introducing the NAVCO 3.0 Dataset 

      Chenoweth, Erica; Pinckney, Jonathan; Lewis, Orion A (Journal article; Peer reviewed, 2018)
      Although the empirical study of strategic nonviolent action has expanded in recent years, no current dataset provides detailed accounts of the day-to-day methods and tactics used by various nonviolent and violent actors ...
    • Days out of role and somatic, anxious-depressive, hypo-manic, and psychotic-like symptom dimensions in a community sample of young adults 

      Crouse, Jacob J.; Ho, Nicholas; Scott, Janine Linda; Martin, Nicholas G.; Couvy-Duchesne, Baptiste; Hermens, Daniel F.; Parker, Richard; Gillespie, Nathan A.; Medland, Sarah E.; Hickie, Ian B. (Peer reviewed; Journal article, 2021)
      Improving our understanding of the causes of functional impairment in young people is a major global challenge. Here, we investigated the relationships between self-reported days out of role and the total quantity and ...
    • DC Current Interruption Based on Vacuum Arc Impacted by Ultra-Fast Transverse Magnetic Field 

      Hashemi, Ehsan; Niayesh, Kaveh (Peer reviewed; Journal article, 2020)
      In this paper, the effect of an external ultrafast transverse magnetic field (UFTMF) on a vacuum arc in the diffused mode has been studied. According to the results of studies, a novel approach for making a zero-crossing ...
    • Dc Josephson Effect in Altermagnets 

      Ouassou, Jabir Ali; Brataas, Arne; Linder, Jacob Wüsthoff (Journal article; Peer reviewed, 2023)
      The ability of magnetic materials to modify superconductors is an active research area for possible applications in thermoelectricity, quantum sensing, and spintronics. We consider the fundamental properties of the Josephson ...
    • DC-DC Converter Control for Peak-Shaving in Shipboard DC Power System via Hybrid Control 

      Park, Daeseong; Zadeh, Mehdi; Skjetne, Roger (Chapter, 2020)
      For the stable operation of the shipboard hybrid DC power systems, the DC bus voltage should be controlled within the recommended range by the regulations. However, the challenge comes from the load variations, and it makes ...