• Parameter and State Estimation of Large-Scale Complex Systems Using Python Tools 

      Perera, M. Anushka S.; Hauge, Tor Anders; Pfeiffer, Carlos Fernando (Journal article; Peer reviewed, 2015)
      This paper discusses the topics related to automating parameter, disturbance and state estimation analysis of large-scale complex nonlinear dynamic systems using free programming tools. For large-scale complex systems, ...
    • Parameter Estimation for a Gas Lifting Oil Well Model Using Bayes' Rule and the Metropolis–Hastings Algorithm 

      Ban, Zhe; Ghaderi, Ali; Janatian, Nima; Pfeiffer, Carlos (Peer reviewed; Journal article, 2022)
      Oil well models are frequently used in the oil production process. Estimation of unknown parameters of these models has long been a question of great interest in the oil industry field. Data collected from an oil well ...
    • Parameter estimation for externally simulated thermal network models 

      Brastein, Ole Magnus; Lie, Bernt; Sharma, Roshan; Skeie, Nils-Olav (Peer reviewed; Journal article, 2019)
      Obtaining accurate dynamic models of building thermal behaviour requires a statistically solid foundation for estimating unknown parameters. This is especially important for thermal network grey-box models, since all their ...
    • Parameter estimation for grey-box models of building thermal behaviour 

      Brastein, Ole Magnus; Perera, Degurunnehalage Wathsala U.; Pfeiffer, Carlos Fernando; Skeie, Nils-Olav (Journal article; Peer reviewed, 2018)
      Good models for building thermal behaviour are an important part of developing building energy management systems that are capable of reducing energy consumption for space heating through model predictive control. A popular ...
    • Parametric sensitivity analysis of rotor angle stability indicators 

      Shrestha, Ashish; Gonzalez-Longatt, Francisco (Journal article; Peer reviewed, 2021)
      With the increasing penetration rate of Power Electronic Converter (PEC) based technologies, the electrical power systems are facing the problem of transient stability since the PEC based technologies do not contribute to ...
    • Parametric sensitivity analysis of rotor angle stability indicators: Simulation case 

      Shrestha, Ashish; Gonzalez-Longatt, Francisco (Journal article; Peer reviewed, 2021)
      Because power electronic converter (PEC) dominated power generators do not provide the rotational inertia and the proportion of synchronous generators is reducing, the modern electrical grids are confronting a challenge ...
    • Particle identification in ALICE: a Bayesian approach 

      Adam, Jaroslav; Adamová, Dagmar; Aggarwal, Madan M.; Aglieri Rinella, Gianluca; Agnello, Michelangelo; Agrawal, Nikita; Ahammed, Zubayer; Ahmad, Shafiq F.; Ahn, Sang Un; Aiola, Salvatore; Alme, Johan; Helstrup, Håvard; Hetland, Kristin Fanebust; Kileng, Bjarte; Altinpinar, Sedat; Djuvsland, Øystein; Haaland, Øystein Senneset; Lønne, Per-Ivar; Nystrand, Joakim; Rehman, Attiq ur; Røhrich, Dieter; Tambave, Ganesh Jagannath; Ullaland, Kjetil; Velure, Arild; Wagner, Boris; Zhang, Hui; Zhou, Zhuo; Zhu, Hongsheng; Arsene, Ionut Christian; Bätzing, Paul Christoph; Dordic, Olja; Lindal, Svein; Mahmood, Sohail Musa; Milosevic, Jovan; Qvigstad, Henrik; Richter, Matthias; Røed, Ketil; Skaali, Toralf Bernhard; Tveter, Trine Spedstad; Wikne, Jon Christopher; Zhao, Chengxin; Langøy, Rune; Lien, Jørgen; Akindinov, Alexander; Alam, Sk Noor; De Albuquerque, Danilo Silva; Aleksandrov, Dimitry; Alessandro, Bruno; Alexandre, Didier; Alfaro Molina, José Rubén; ALICE, Collaboration (Journal article; Peer reviewed, 2016)
      We present a Bayesian approach to particle identification (PID) within the ALICE experiment.The aim is to more effectively combine the particle identification capabilities of its various detectors. After a brief explanation ...
    • Particle identification studies with a full-size 4-GEM prototype for the ALICE TPC upgrade 

      Aggarwal, Madan M.; Ahammed, Zubayer; Aiola, Salvatore; Alme, Johan; Alt, Torsten; Amend, Werner; Andronic, Anton; Anguelov, Venelin; Appelshäuser, Harald; Arslandoc, Mesut; Averbeck, Ralf Peter; Ball, Markus; Barnaföldi, Gergely Gábor; Bartsch, Esther; Bellwied, René; Bencédi, Gyula; Berger, Martin Emanuel; Bialas, Norbert; Bianchi, Livio; Biswas, Saikat; Boldizsár, Laszlo; Bratrud, Lars Karlot Stubberud; Braun-Munzinger, P; Bregant, Marco; Britton, Charles L.; Brücken, Erik J.; Caines, Helen Louise; Castro, Andrew; Chattopadhyay, Subhasis; Christiansen, Peter H.L.; Clonts, Lloyd G.; Cormier, Tom M.; Dash, Sadhana; Das, Saubhagyalaxmi L.; Deisting, Alexander; Dittrich, Stefan; Ehlers, Raymond J.; Helstrup, Håvard; Langøy, Rune; Lien, Jørgen; Mahmood, Sohail Musa; Mathis, Andreas; Rehman, Attiq ur; Røhrich, Dieter; Ullaland, Kjetil; Velure, Arild; Røed, Ketil; Wikne, Jon Christopher; Zhao, Chengxin; ALICE, Collaboration (Journal article; Peer reviewed, 2018)
      Abstract A large Time Projection Chamber is the main device for tracking and charged-particle identification in the ALICE experiment at the CERN LHC. After the second long shutdown in 2019/20, the LHC will deliver Pb ...
    • Particle image velocimetry measurements of stratified gas-liquid flow in horizontal and inclined pipes 

      Vestøl, Sondre; Kumara, W.A.S.; Melaaen, Morten Christian (Journal article; Peer reviewed, 2018)
      The main objectives of this work is to produce detailed velocity profile measurements over a range of operating conditions of two phase gas/liquid flow with low liquid fractions in horizontal and inclined pipes. The ...
    • Parturition dates for Eurasian beavers Castor fiber: when should spring hunting cease? 

      Parker, Howard; Rosell, Frank (Journal article; Peer reviewed, 2001)
      Hunting Eurasian beaver Castor fiber with firearms during late spring is the dominating harvest form in Norway but may violate the Norwegian wildlife management principle of not hunting during the breeding season. In ...
    • Patterns of Tetracapsuloides bryosalmonae infection of three salmonid species in large, deep Norwegian lakes 

      Oredalen, Tone Jøran; Sæbø, Mona; Mo, Tor Atle (Peer reviewed; Journal article, 2021)
      Proliferative kidney disease (PKD), caused by the myxozoan endoparasite Tetracapsuloides bryosalmonae, is of serious ecological and economical concern to wild and farmed salmonids. Wild salmonid populations have declined ...
    • Patterns, timing, and environmental drivers of growth in two coexisting green-stemmed Mediterranean alpine shrubs species 

      Albrecht, Eike Corina; Dobbert, Svenja; Pape, Roland; Löffler, Jörg (Peer reviewed; Journal article, 2023)
      The Mediterranean alpine is one of the most vulnerable ecosystems under future environmental change. Yet, patterns, timing and environmental controls of plant growth are poorly investigated. We aimed at an improved ...
    • Patterns, timing, and environmental drivers of secondary growth in two physiologically distinct Mediterranean alpine shrub species 

      Albrecht, Eike Corina; Dobbert, Svenja; Pape, Roland; Löffler, Jörg (Peer reviewed; Journal article, 2023)
      Alpine plants are particularly sensitive to climate change, and in the Mediterranean, less frequent winter cold and prolonged summer drought are expected to shift the growth patterns of species, altering their range and ...
    • PCR/PLSR optimization based on noise covariance estimation and Kalman filtering theory 

      Ergon, Rolf; Esbensen, Kim H. (Journal article; Peer reviewed, 2002)
      The theoretical connection between principal component regression (PCR) and partial least squares regression (PLSR) on one hand and Kalman filtering (KF) on the other is known from earlier work. In the present paper we ...
    • PD/PID controller tuning based on model approximations: Model reduction of some unstable and higher order nonlinear models 

      Dalen, Christer; Di Ruscio, David Luigi (Journal article; Peer reviewed, 2017)
      A model reduction technique based on optimization theory is presented, where a possible higher order system/model is approximated with an unstable DIPTD model by using only step response data. The DIPTD model is used to ...
    • PDMS microlenses for focusing light in narrow band imaging diagnostics 

      Costa, Adriana C; Pimenta, Sara; Ribeiro, João F.; Silva, Manuel F; Wolffenbuttel, Reinoud F; Dong, Tao; Yang, Zhaochu; Correia, José H. (Peer reviewed; Journal article, 2019)
      Minimally invasive medical devices can greatly benefit from Narrow Band Imaging (NBI) diagnostic capabilities, as different wavelengths allow penetration of distinct layers of the gastrointestinal tract mucosa, improving ...
    • Pedagogical Perspectives of Interdisciplinary Teaching and Research: An Energy System Modelling Outlook in Relation to Energy Informatics 

      Bordin, Chiara; Mishra, Sambeet; Benth, Fred Espen (Peer reviewed; Journal article, 2023)
      The purpose of this paper is to present and discuss pedagogical frameworks and approaches to developing, delivering, and evaluating a new interdisciplinary course within the domain of energy informatics at both Master’s ...
    • Perceived Usefulness of Maritime Cross-Border Collaboration Exercises 

      Sørensen, Jarle Løwe; Magnussen, Leif Inge; Torgersen, Glenn-Egil; Christiansen, Atle Martin; Carlström, Eric (Journal article; Peer reviewed, 2018)
      The aim of this quantitative, non-experimental, survey-based study was to examine to what extent there was a statistically significant relationship between participation in a cross-border collaboration crisis exercise and ...
    • Performance Analyses of a 454 kWp Grid-Connected Rooftop Photovoltaic System in Southern Norway 

      Tayyib, Muhammad; Lie, Ellen kathrine (Chapter, 2020)
      This paper analyzes and compares the actual measured and simulated performance of a 454 kWp grid-connected photovoltaic system installed on the rooftop of the university building. The data presented in this study were ...
    • Performance analysis of biocathode in bioelectrochemical CO2 reduction 

      Nelabhotla, Anirudh Bhanu Teja; Bakke, Rune; Saldias Dinamarca, Carlos Antonio (Peer reviewed; Journal article, 2019)
      Microbial electrosynthesis (MES) biogas upgrading is done via reduction of carbon dioxide to methane through electroactive microbial catalysis. The baseline MES mode of operation showed about a 39% increase in the methane ...