Blar i Publikasjoner fra CRIStin - SINTEF AS på tittel
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Analysis of residential EV energy flexibility potential based on real-world charging reports and smart meter data
(Peer reviewed; Journal article, 2021)The increase in the number of electric vehicles leads to an increased demand for residential charging. While EV electric loads can have a negative impact on the power grid, they also represent a large potential for energy ... -
Analysis of Spatial Decorrelation of Small-Scale Tropospheric Delay Using High-Resolution NWP Data
(Peer reviewed; Journal article, 2023)This paper contains results from a study where numerical weather product (NWP) data provided by MET Norway were used to estimate the differential zenith tropospheric delay (dZTD) for an area including Scandinavia, Finland ... -
Analysis of the impact resolution has on load matching in the Norwegian context
(Journal article; Peer reviewed, 2017)Generation of energy at building level has an increasing interest in Norway, as in rest of Europe. Load matching is the correlation between the buildings generation and load, which in most cases aims at optimization of the ... -
Analysis of Turbulent Wakes Behind Helicopter Hangars at Sola Airport
(SINTEF Rapport;, Research report, 2015)Turbulence in the wake generated by airflow over buildings may produce complex airflow patterns in the downwind region. Examples include the recirculating flow and wind deficit areas behind airport buildings and their ... -
Analysis of usability evaluation data: An interview study with usability professionals
(Research report, 2009)While the planning and implementation of usability evaluations are well described in the HCI literature, the analysis of the evaluation data is not. This implies that we know little of the current practice of usability ... -
Analytical models for onset of sand production under isotropic and anisotropic stresses in laboratory tests
(Journal article; Peer reviewed, 2019)Four failure criteria, a simplified Mohr–Coulomb, a Mohr–Coulomb, a von Mises and a Drucker–Prager model are considered for borehole failure and sand onset predictions. The von Mises is a special case of the Drucker–Prager. ... -
Analytical Solutions of Carbonate Acidizing in Radial Flow
(Peer reviewed; Journal article, 2021)The flow of reactive fluids into porous media, a phenomenon known as reactive infiltration, is important in natural and engineered systems. While most of the studies in this area cover theoretical and experimental analyses ... -
Analytical strategies for clinical studies on dental erosive wear
(Journal article; Peer reviewed, 2019)Background There is a need for analytical techniques for measuring Erosive Tooth Wear (ETW) on natural surfaces in clinical studies. The purpose was to investigate the use of two instruments aimed to assess initial to more ... -
Analyzing electrical installation labor productivity through work sampling
(Journal article; Peer reviewed, 2017)Purpose The construction industry is a labor-intensive industry, hence, the presence of labor with high productivity at each stage of the project plays a significant role in achieving project success. The purpose of this ... -
Analyzing electrical installation labor productivity through work sampling
(Journal article; Peer reviewed, 2017)Purpose The construction industry is a labor-intensive industry, hence, the presence of labor with high productivity at each stage of the project plays a significant role in achieving project success. The purpose of this ... -
Analyzing User-Generated Web-Based Posts of Adolescents' Emotional, Behavioral, and Symptom Responses to Beliefs About Depression: Qualitative Thematic Analysis
(Peer reviewed; Journal article, 2023)Background: Depression is common during adolescence. Early intervention can prevent it from developing into more progressive mental disorders. Combining information technology and clinical psychoeducation is a promising ... -
Anbefalinger ved ombruk av byggematerialer
(SINTEF Fag;18, Research report, 2014)Hvordan kan ombruk bli et kostnadseffektivt og praktisk alternativ til nye materialer i markedet? Hvordan kan ombruk bli et kostnadseffektivt og praktisk alternativ til nye materialer i markedet, både internt i ... -
Animal study assessing safety of an acoustic coupling fluid that holds the potential to avoid surgically induced artifacts in 3D ultrasound guided operations
(Journal article; Peer reviewed, 2014)Background Use of ultrasound in brain tumor surgery is common. The difference in attenuation between brain and isotonic saline may cause artifacts that degrade the ultrasound images, potentially affecting resection grades ... -
Anisotropic tensile failure of metals by the strain localization theory: An application to a high-strength aluminium alloy
(Journal article; Peer reviewed, 2018) -
Annoyance survey by means of social media
(Journal article; Peer reviewed, 2017)Social surveys have been the conventional means of evaluating the annoyance caused by transportation noise. Sampling and interviewing by telephone, mail, or in person are often costly and time consuming, however. Data ... -
Annual report 2018
(ZEN Report;15, Research report, 2019)Summary of the research from 2018 After two years of operation, the Research Centre on Zero Emission Neighbourhoods in Smart Cities (ZEN Centre) is be¬ginning to find its form. PhDs, Postdocs, and researchers are collaborating ... -
Annual Report 2018
(Klima 2050 Report;14, Research report, 2019) -
Annular frictional pressure losses for drilling fluids
(Peer reviewed; Journal article, 2020)In the paper it is demonstrated how a Herschel-Bulkley fluid model, where the parameters are selected from relevant shear rate range of the flow and are parametrically independent, can be used for pressure loss calculations. ... -
Anomaly Detection with Unknown Anomalies: Application to Maritime Machinery
(Peer reviewed; Journal article, 2021)We present a framework for deriving anomaly detection algorithms on timeseries data when the time and expression of anomalous behaviour is unknown. The framework is suited for problems in which individual machine learning ...