Search results for "Grid"

showing 10 items of 792 documents

Polynomial Smoothing Splines

2014

Interpolating splines is a perfect tool for approximation of a continuous-time signal \(f(t)\) in the case when samples \(x[k]=f(k),\;k\in \mathbb {Z}\) are available. However, frequently, the samples are corrupted by random noise. In such case, the so-called smoothing splines provide better approximation. In this chapter we describe periodic smoothing splines in one and two dimensions. The SHA technique provides explicit expression of such splines and enables us to derive optimal values of the regularization parameters.

Discrete mathematicsSmoothing splinePolynomial smoothingSubdivision methodBox splineRandom noiseExpression (computer science)Regularization (mathematics)Sampling gridMathematics
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Real-space grids and the Octopus code as tools for the development of new simulation approaches for electronic systems.

2015

This Open Access Article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

DiscretizationComputer sciencephysics.chem-phGeneral Physics and AstronomyFOS: Physical sciencesPhysics and Astronomy(all)Settore FIS/03 - Fisica Della MateriaDevelopment (topology)EngineeringTDDFT/dk/atira/pure/subjectarea/asjc/3100Physics - Chemical Physicsoctopus (software)Code (cryptography)Physical and Theoretical ChemistryQuantumFlexibility (engineering)/dk/atira/pure/subjectarea/asjc/1600/1606Chemical Physics (physics.chem-ph)Chemical PhysicsComputational Physics (physics.comp-ph)GridOptimal controlCondensed Matter - Other Condensed MatterComputer engineeringcond-mat.otherphysics.comp-phddc:540Physical SciencesChemical SciencesPhysics - Computational PhysicsOther Condensed Matter (cond-mat.other)Physical chemistry chemical physics : PCCP
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A coupled Finite Volume–Smoothed Particle Hydrodynamics method for incompressible flows

2016

Abstract An hybrid approach is proposed which allows to combine Finite Volume Method (FVM) and Smoothed Particle Hydrodynamics (SPH). The method is based on the partitioning of the computational domain into a portion discretized with a structured grid of hexahedral elements (the FVM-domain ) and a portion filled with Lagrangian particles (the SPH-domain ), separated by an interface made of triangular elements. A smooth transition between the solutions in the FVM and SPH regions is guaranteed by the introduction of a layer of grid cells in the SPH-domain and of a band of virtual particles in the FVM one (both neighboring the interface), on which the hydrodynamic variables are obtained throug…

DiscretizationSPHComputational MechanicsGeneral Physics and AstronomyCoupled FVM–SPH approachBoundary condition01 natural sciences010305 fluids & plasmasSettore ICAR/01 - IdraulicaSmoothed-particle hydrodynamicsPhysics and Astronomy (all)0103 physical sciencesComputational mechanicsMechanics of Material0101 mathematicsMirror particleComputational MechanicPhysicsFinite volume methodMechanical EngineeringMathematical analysisSmoothed Particle HydrodynamicComputer Science Applications1707 Computer Vision and Pattern RecognitionGridComputer Science ApplicationsComputational physics010101 applied mathematicsMechanics of MaterialsCompressibilityReduction (mathematics)Interpolation
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Distributed Learning Automata-based S-learning scheme for classification

2019

This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk in a grid system. To each node in the grid, we attach an LA whose actions are the choices of the edges forming a separator. The walk is self-enclosing, and a new random walk is started whenever the walker returns to the starting node forming a closed classification path yielding a many-edged polygon. In our approach, the different LA attached to the different nodes search for a polygon that best encircles and separates each class. Based on the obtained polygons, we perform …

Distributed learningLearning automataComputer sciencePolygonsFeature vector020207 software engineering02 engineering and technologyGridRandom walkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Learning automataSupport vector machinesymbols.namesakeArtificial IntelligenceKernel (statistics)Polygon0202 electrical engineering electronic engineering information engineeringGaussian functionsymbols020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionClassificationsAlgorithmPattern Analysis and Applications
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A resilient distributed measurement system for smart grid application

2020

Since the production of energy from renewable energy sources is strongly increasing, the migration from the classical electric grid toward the smart grid is becoming a reality. Distribution System Operators, along with the control of the entire network and its stability, need to address the security and the reliability of the communication channels and the data itself. In this paper a solution is proposed to address these issues. It is based on a distributed measurement system that relies on a wireless network as well as a redundant Power Line communication system in order to transfer the electrical measures to a centralized SCADA server. The collected data are used to run a power flow algo…

Distributed measurement systemsWireless networkbusiness.industryComputer scienceReliability (computer networking)Distributed computingSmart gridGridelectric load flowHuman-machine interfaceslaw.inventionPower-line communicationSmart gridSCADAlawElectrical networknetwork securityElectricitySCADAbusinesscarrier transmission on power linesSettore ING-INF/07 - Misure Elettriche E Elettroniche
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A review of health assessment techniques for distribution transformers in smart distribution grids

2020

Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

Distribution (number theory)Computer science020209 energy02 engineering and technologyDistribution transformer01 natural scienceslcsh:Technologylcsh:Chemistry0103 physical sciences0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencedistribution transformerInstrumentationlcsh:QH301-705.5Transformer (machine learning model)010302 applied physicsFluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyGeneral Engineeringreal-time assessmentTransformer healthtransformer failureslcsh:QC1-999Computer Science ApplicationsReliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaHealth assessmentlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Distribution gridlcsh:Engineering (General). Civil engineering (General)lcsh:Physicstransformer failure
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Querying Dynamic and Context-Sensitive Metadata in Semantic Web

2005

RDF (core Semantic Web standard) is not originally appropriate for context representation, because of its initial focus on the ordinary Web resources, such as web pages, files, databases, services, etc., which structure and content are more or less stable. However, on the other hand, emerging industrial applications consider e.g. machines, processes, personnel, services for condition monitoring, remote diagnostics and maintenance, etc. to be specific classes of Web resources and thus a subject for semantic annotation. Such resources are naturally dynamic, not only from the point of view of changing values for some attributes (state of resource), but also from the point of view of changing “…

Document Structure DescriptionWeb standardsmedicine.medical_specialtyWeb developmentWeb 2.0Computer scienceRDF Schemacomputer.software_genreSocial Semantic WebWorld Wide WebAnnotationWeb pagemedicineSemantic analyticsSPARQLSemantic Web StackRDFCwmSemantic WebData Webbusiness.industrySemantic Web Rule Languagecomputer.file_formatLinked dataMetadataSemantic gridSimple Knowledge Organization SystemThe InternetWeb serviceWeb resourcebusinesscomputerWeb modeling
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Performance of grid-connected PV system in Southern Norway

2015

This paper presents performance results from one of the first grid-connected photovoltaic (PV) systems in Norway. The 45 kWp system is mounted on top of a flat roof at the headquarters of a local utility company, Agder Energi, in the coastal town of Kristiansand. The system consists mainly of multi-crystalline silicon modules, with one thin film array. The system has been in operation since May 2011 and is instrumented for research and monitoring purposes. Data recorded include global and diffuse horizontal irradiation, tilted irradiation and other weather parameters, PV module temperatures, DC and AC current and voltage for three arrays, in addition to inverter power data and voltage quali…

DowntimeFlat roofbusiness.industryPhotovoltaic systemElectrical engineeringGrid-connected photovoltaic power systemInverterEnvironmental sciencebusinessMaximum power point trackingPower (physics)Voltage2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC)
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Minimum power losses by using droop coefficients regulation method with voltage and frequency constraints in islanded microgrids

2018

In this paper, a droop coefficients regulation methodology is proposed for an islanded microgrid to optimize the power losses. Based on the P-f and Q-V relations to adjust the droop coefficients at every loading condition, the optimized operating set point generates minimum power losses operation while satisfying the constraints of voltage and frequency limitation. A 9-bus case study is here implemented to show the effectiveness of this new approach as well as the improved operation quality of the system.

Droop controlControl and OptimizationMicrogridComputer science020209 energy020208 electrical & electronic engineeringEnergy Engineering and Power Technology02 engineering and technologySet pointPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaQuality (physics)Control theoryArtificial Intelligence0202 electrical engineering electronic engineering information engineeringVoltage droopMicrogridMinimum losseVoltage
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Optimal power flow for technically feasible energy management systems in islanded microgrids

2016

This paper presents a combined optimal energy and power flow management for islanded microgrids. The highest control level in this case will provide a feasible and optimized operating point around the economic optimum. In order to account for both unbalanced and balanced loads, the optimal power flow is carried out using a Glow-worm Swarm Optimizer. The control level is organized into two different sub-levels, the highest of which accounts for minimum cost operation and the lowest one solving the optimal power flow and devising the set points of inverter interfaced generation units and rotating machines with a minimum power loss. A test has been carried out for 6 bus islanded microgrids to …

Droop controldroop controlEngineeringMicrogridEnergy management020209 energyGlow-worm swarm optimizationglow-worm swarm optimizationEnergy Engineering and Power Technology02 engineering and technologySet (abstract data type)Control theory0202 electrical engineering electronic engineering information engineeringoptimal power flowElectrical and Electronic EngineeringOperating pointRenewable Energy Sustainability and the Environmentbusiness.industrySwarm behaviourSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiamicrogridInverterMicrogridbusinessOptimal power flowEnergy (signal processing)Power control2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)
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