Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 7666-7685 of 37304
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Data-Driven Prediction of Vortex-Induced Vibration Response of Marine Risers Subjected to Three-Dimensional Current
(Chapter, 2019)Slender marine structures such as deep-water marine risers are subjected to currents and will normally experience Vortex Induced Vibrations (VIV), which can cause fast accumulation of fatigue damage. The ocean current is ... -
Data-Driven Real-Time Price-Based Demand Response for Industrial Facilities Energy Management
(Journal article; Peer reviewed, 2021)Recent advances in smart grid technologies have highlighted demand response (DR) as an important tool to alleviate electricity demand–supply mismatches. In this paper, a real-time price (RTP)-based DR algorithm is proposed ... -
Data-driven recovery of hidden hysics in reduced order modeling of fluid flows
(Peer reviewed; Journal article, 2020)In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics. The hybrid ROM framework ... -
Data-driven recovery of hidden physics in reduced order modeling of fluid flows
(Peer reviewed; Journal article, 2020)In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics. The hybrid ROM framework ... -
Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters
(Peer reviewed; Journal article, 2020)Industrial waste heat recovery is an attractive option having the simultaneous benefits of reducing energy costs as well as carbon emissions. In this context, thermal energy storage can be used along with an optimal operation ... -
Data-driven Scenario Selection for Multistage Robust Model Predictive Control
(Journal article; Peer reviewed, 2018)A main assumption in many works considering multistage model predictive control (MPC) is that discrete realizations of the uncertainty are chosen a-priori and that the scenario tree is given. In this work, we focus on ... -
Data-driven sea state estimation for vessels using multi-domain features from motion responses
(Chapter, 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 ... -
Data-Driven Ship Design
(Chapter, 2018)This paper proposes data-driven methods thinkingto the ship design practices, enabling effective data collection, quality, access, analysis and monitoring during the vessel lifecycle.Data is here understood as the key ... -
Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves
(Peer reviewed; Journal article, 2023)In marine operations, the performance of model-based automatic control design and decision support systems highly relies on the accuracy of the representative mathematical models. Model fidelity can be crucial for safe ... -
Data-driven smart eco-cities and sustainable integrated districts: A best-evidence synthesis approach to an extensive literature review
(Journal article; Peer reviewed, 2021) -
Data-Driven Smart Sustainable Cities of the Future: A Novel Model of Urbanism and Its Core Dimensions, Strategies, and Solutions
(Journal article; Peer reviewed, 2021)The big data revolution is heralding an era where instrumentation, datafication, and computation are increasingly pervading the very fabric of cities. Big data technologies are seen as a powerful force that has great ... -
Data-Driven Smart Sustainable Cities of the Future: An Evidence Synthesis Approach to a Comprehensive State-of-the-Art Literature Review
(Peer reviewed; Journal article, 2021)Sustainable cities are currently undergoing unprecedented transformative changes in light of the recent paradigm shift in science and technology brought on by big data science and analytics. These marked changes are motivated ... -
Data-Driven Smart Sustainable Cities of the Future: New Conceptions of and Approaches to the Spatial Scaling of Urban Form
(Peer reviewed; Journal article, 2021)There is a growing interest in urban form as the spatial concretization of urban sustainability. At the core of sustainable urban form is the spatial pattern of the different types of the physical objects characterizing ... -
Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance
(Journal article; Peer reviewed, 2019)This article presents an optimized series-parallel hybrid powertrain transformed from a conventional vehicle using an analytical approach without changing the original chassis. The proposed approach is based on a many-objective ... -
Data-driven Uncertainty and Sensitivity Analysis for Ship Motion Modeling in Offshore Operations
(Journal article; Peer reviewed, 2019)To build a compact data-driven ship motion model for offshore operations that require high control safety, it is necessary to select the most influential parameters and to analyze the uncertainty of the input parameters. ... -
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
(Peer reviewed; Journal article, 2023)Attitude control of fixed-wing unmanned aerial vehicles (UAVs) is a difficult control problem in part due to uncertain nonlinear dynamics, actuator constraints, and coupled longitudinal and lateral motions. Current ... -
Data-informed scenario generation for statistically stable energy storage sizing in isolated power systems
(Peer reviewed; Journal article, 2022)We consider the problem of how to generate uncertainty scenarios to be used in energy storage sizing problems in isolated power systems. More precisely, we consider storage sizing formulations where both loads and generation ... -
Database Binning and Retrieval in Multi-Fingerprint Identification Systems
(Chapter, 2018)The increasingly large scale of deployed biometric systems necessitates approaches for computational workload reduction in order to perform identification queries efficiently. Simple database binning based on classification ... -
A Database for the Radio Frequency Fingerprinting of Bluetooth Devices
(Peer reviewed; Journal article, 2020)Radio frequency fingerprinting (RFF) is a promising physical layer protection technique which can be used to defend wireless networks from malicious attacks. It is based on the use of the distinctive features of the physical ... -
Databases fit for blockchain technology: A complete overview
(Journal article; Peer reviewed, 2022)Efficient data storage and query processing systems play a vital role in many different research areas. Blockchain technology and distributed ledgers attract massive attention and trigger multiple projects in various ...