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Data-driven asset management in urban water pipe networks: a proposed conceptual framework
(Peer reviewed; Journal article, 2021)Analytical tools used in infrastructure asset management of urban water pipe networks are reliant on asset data. Traditionally, data required by analytical tools has not been collected by most water utilities because it ... -
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
(Journal article; Peer reviewed, 2018)In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ... -
Data-driven Household Load Flexibility Modelling: Shiftable Atomic Load
(Chapter; Peer reviewed, 2018)To keep a stable power system, there should always be balance between the generation and consumption of electricity. In this study, a flexibility modelling method for atomic loads which is based on high resolution appliance ... -
Data-driven modelling with coarse-grid network models
(Peer reviewed; Journal article, 2023)We propose to use a conventional simulator, formulated on the topology of a coarse volumetric 3D grid, as a data-driven network model that seeks to reproduce observed and predict future well responses. The conceptual ... -
Data-driven quasi-interpolant spline surfaces for point cloud approximation
(Peer reviewed; Journal article, 2020)In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ... -
Data-driven quasi-interpolant spline surfaces for point cloud approximation
(Peer reviewed; Journal article, 2020)In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ... -
Data-driven sea state estimation for vessels using multi-domain features from motion responses
(Chapter; Peer reviewed, 2021)Situation awareness is of great importance for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion ... -
DataBio Deliverable D4.4 – Service Documentation
(H2020 732064;D4.4, Research report, 2019-12)The public deliverable D4.4 describes the software components and processes (here called pipelines as the processes mostly consist of Big Data volumes streaming through successive processing steps) to be utilized by the ... -
DataCloud: Enabling the Big Data Pipelines on the Computing Continuum
(Chapter, 2021) -
Datadrevet oppvarming reduserer energibruken i bygg
(Journal article, 2023)Ved å forutsi det faktiske oppvarmingsbehovet i et bygg kan man spare mye energi. -
DataGraft beta v2: New features and capabilities
(Journal article; Peer reviewed, 2017)In this demonstrator, we will introduce the latest features and capabil-ities added to DataGraft – a Data-as-a-Service platform for data preparation and knowledge graph generation. DataGraft provides data transformation, ... -
DataGraft: A Platform for Open Data Publishing
(Journal article; Peer reviewed, 2016)DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator ... -
Datakilder og medellering av trengsel på tog
(SINTEF Rapport;A25833, Research report, 2014) -
Datakvalitet ved digitalisering i petroleumssektoren
(SINTEF Rapport;2021:00053, Research report, 2021)Formålet med denne rapporten er å undersøke hvilke datakilder og data som benyttes i industrielle IKT-systemer og hvordan data behandles og prosesseres før de gjøres tilgjengelig i kontornettet. Styrker og sårbarheter ... -
Dataset for a Norwegian medium and low voltage power distribution system with industrial loads
(Peer reviewed; Journal article, 2023)This article presents a dataset for a Norwegian industrial medium voltage (MV) and low voltage (LV) electric power distribution grid with load time series. The raw dataset was collected in collaboration with the Norwegian ... -
Dataset of plugging and abandonment status from exploration wells drilled within the Troll gas and oil field in the Norwegian North Sea
(Peer reviewed; Journal article, 2021)More than 750 wildcat wells have been drilled in the Norwegian North Sea since 1966. Some of these wells could pose a risk for the environment, climate, and future CO2 and hydrogen storage projects by being potential leakage ... -
Datasets for grey-box model identification from representative archetypes of apartment blocks in Norway
(SINTEF Proceedings;5, Chapter; Peer reviewed; Conference object, 2020)Grey-box models combine a relatively simple physical description of the building with a data-driven inference of key parameters and are often used for this purpose. A challenge with grey-box models is that the model ... -
Datastruktur for dokumentasjon av naturbaserte løsninger – et verktøy
(Klima 2050 Report;19, Research report, 2020)Naturbaserte løsninger (NBL) for håndtering av overvann i urbane strøk finnes i mange former og variasjoner, noe som gjør at det er vanskelig å ha et felles rammeverk som kan integrere alle spesifikke aspekter ved disse ... -
Dating persons with physical disabilities: the perceptions of South Africans without disabilities
(Journal article; Peer reviewed, 2017)There is good reason to believe that the attitudes of persons without disability towards dating a person with a physical disability might be unfavourable. However, in general, and in the Global South in particular, there ... -
De fleste skadene skyldes betongkonstruksjonens utførelse. Hus direkte på grunn.
(Særtrykk (Norges byggforskningsinstitutt);243, Others, 1975)