Browsing NORCE Energi og teknologi by Title
Now showing items 261-280 of 315
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Sex-based differences in sub-technique selection during an international classical cross-country skiing competition
(Peer reviewed; Journal article, 2020)The purpose of this study was to compare speed, sub-technique selection and temporal patterns between world-class male and female cross-country (XC) skiers and to examine the combined associations of sex and speed on ... -
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
(Peer reviewed; Journal article, 2020)Forecasting the dynamics of time-varying systems is essential to maintaining the sustainability of the systems. Recent studies have discovered that Recurrent Neural Networks(RNN) applied in the forecasting tasks outperform ... -
Sidestrømmer i trevareindustrien
(Research report, 2023)Utnyttelsen av sidestrømmer blant medlemsbedriftene til Tre på Agder er kartlagt ved hjelp av en spørreundersøkelse. Materialrester og avkapp går i dag hovedsakelig til forbrenning. Kvalitet trekkes fram som en viktig grunn ... -
Simulating offshore hydrogen production via PEM electrolysis using real power production data from a 2.3 MW floating offshore wind turbine
(Peer reviewed; Journal article, 2023)This work presents simulation results from a system where offshore wind power is used to produce hydrogen via electrolysis. Real-world data from a 2.3 MW floating offshore wind turbine and electricity price data from Nord ... -
Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data
(Peer reviewed; Journal article, 2019)The industry is moving towards maintenance strategies that consider component health, which require extensive collection and analysis of data. Condition monitoring methods that require manual feature extraction and analysis, ... -
SIOS’s Earth Observation (EO), Remote Sensing (RS), and operational activities in response to COVID-19
(Journal article; Peer reviewed, 2021)Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, ... -
Skin and Proximity Effects in Electrodes and Furnace Shells
(Peer reviewed; Journal article, 2019)A review of two-dimensional (2D) analytical models of skin and proximity effects in large industrial furnaces with three electrodes arranged in an equilateral triangle is given. The models cover three different cases: one ... -
Sluttrapportering Registreringsarbeid under prosjektet «Ryddeaksjon Jærkysten» 2018–2020
(Research report, 2021)Undersøkelsen har benyttet innsamling og registrering av avfall ved tre skoler på tre definerte lokaliteter i 2018–2020, samt data fra ryddelogg med mengder strandavfall mottatt av Jæren friluftsråd i perioden 2015–2020. ... -
Smart meters and messaging: Task 1.5 in the project “Integrated Renewable Resources and Storage: Operation and Management”
(Research report, 2022)Monte Carlo-type simulations based on data from the Skarpnes village have been used to assess the benefits of smart meters for rooftop PV systems. The results show that when installing PV panels on private homes on the ... -
Snow avalanche detection using Sentinel-1 in Langtang, Nepal
(Research report, 2021)This report summarizes NORCE’s contribution to the snowAMP2-project where NVE and ICIMOD are working on cryospheric processes and hazards in the Langtang catchment in Nepal. We contribute with radar satellite-borne snow ... -
Snøskredaktivitet i Ramfjorden, Troms, 2014-2019
(Research report, 2019)Vi detekterte automatisk skred i Sentinel-1 radarsatellittdata i et definert område på ca. 9.5 km2 i Ramfjorden og Lavangsdalen, Tromsø kommune. Sentinel-1 data var tilgjengelig i perioden 2014-2019 og vi har lastet ned ... -
Spatio-temporal visual learning for home-based monitoring
(Peer reviewed; Journal article, 2024)This paper introduces a novel concept for Home-based Monitoring (HM) that enables robust analysis and understanding of activities towards improved caring and safety. Spatio-Temporal Visual Learning for HM (STVL-HM) is a ... -
Spectral Clustering with Graph Neural Networks for Graph Pooling
(Peer reviewed; Journal article, 2020)Spectral clustering (SC) is a popular clustering technique to find strongly connected communities on a graph. SC can be used in Graph Neural Networks (GNNs) to implement pooling operations that aggregate nodes belonging ... -
Spread Spectrum Modulation with Grassmannian Constellations for Mobile Multiple Access Underwater Acoustic Channels
(Journal article; Peer reviewed, 2022)The objective of this study is to evaluate Grassmannian constellations combined with a spread spectrum multiple access scheme for underwater acoustic mobile multiple access communication systems. These communication systems ... -
Status of Foam as a Liquid Blocking Agent in Porous Media: A Review
(Journal article; Peer reviewed, 2023)Abstract This article summarizes the state-of-the-art knowledge gained from field observations and laboratory studies regarding foam as a liquid controlling agent in porous media. Being the least explored property of foam, ... -
Stick-slip and torsional friction factors in inclined wellbores
(Peer reviewed; Journal article, 2018)Stick slip is usually considered a phenomenon of bit-rock interaction, but is also often observed in the field with the bit off bottom. In this paper we present a distributed model of a drill string with an along-string ... -
A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering
(Peer reviewed; Journal article, 2023)The Ensemble Kalman Filters (EnKF) employ a Monte-Carlo approach to represent covariance information, and are affected by sampling errors in operational settings where the number of model realizations is much smaller than ... -
Surface charge change in carbonates during low-salinity imbibition
(Peer reviewed; Journal article, 2024)Optimizing the injection water salinity could present a cost-effective strategy for improving oil recovery. Although the literature generally acknowledges that low-salinity improves oil recovery in laboratory-scale ... -
Surface Complexation Modelling of Wettability Alteration during Carbonated Water Flooding
(Peer reviewed; Journal article, 2022)CO2 capture and utilization is an effective tool in reducing greenhouse gas emissions and hence, combating global warming. In the present study, surface complexation modeling (SCM) with the geochemistry solver, PHREEQ-C, ... -
A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation
(Peer reviewed; Journal article, 2021)Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the potential to play a major role in industrial flow measurement applications. One such application is the optimization of hydrocarbon ...