Search results for "POWER"

showing 10 items of 5099 documents

Unfolding dynamics of small peptides biased by constant mechanical forces

2018

We show how multi-ensemble Markov state models can be combined with constant-force equilibrium simulations. Besides obtaining the unfolding/folding rates, Markov state models allow gaining detailed insights into the folding dynamics and pathways through identifying folding intermediates and misfolded structures. For two specific peptides, we demonstrate that the end-to-end distance is an insufficient reaction coordinate. This problem is alleviated through constructing models with multiple collective variables, for which we employ the time-lagged independent component analysis requiring only minimal prior knowledge. Our results show that combining Markov state models with constant-force simu…

State modelQuantitative Biology::BiomoleculesMathematical optimization010304 chemical physicsMarkov chainProcess Chemistry and TechnologyDynamics (mechanics)Biomedical EngineeringEnergy Engineering and Power TechnologyFolding (DSP implementation)010402 general chemistry01 natural sciencesIndependent component analysisIndustrial and Manufacturing Engineering0104 chemical sciencesReaction coordinateChemistry (miscellaneous)0103 physical sciencesSmall peptideMaterials ChemistryChemical Engineering (miscellaneous)Statistical physicsConstant (mathematics)MathematicsMolecular Systems Design & Engineering
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Voltage Profile Improvement for Soc Son's Low-Voltage Grid with High Penetration of PV Systems by Optimizing the Location of SVC Devices

2018

This paper presents a method that is applied to optimize the placement of Static VAR compensators in a real low-voltage grid in the Vietnamese territory. In this way, the voltage profile of the distribution grid turns to be improved. A heuristic method, the Binary Particle Swarm Optimization, is used to find a solution to this problem within the Matlab environment. A case study that considers a high penetration of rooftop PV systems in a branch of Soc Son distribution grid is implemented to show the efficiency of the optimization method for this specific application.

Static VAr compensators Reactive power Voltage control Renewable energy sources Particle swarm optimization OptimizationComputer sciencebusiness.industry020209 energyPhotovoltaic systemParticle swarm optimization02 engineering and technologyPenetration (firestop)AC powerGridRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'Energia0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessMATLABcomputercomputer.programming_languageVoltage2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Spectral Moments and Pre-Envelope Covariances of Nonseparable Processes

1990

A critical review of the definition of the spectral moments of a stochastic process in the nonstationary case is presented. An adequate time-domain representation of the spectral moments in the stationary case is first established, showing that the spectral moments are related to the variances of the stationary analytical pre-envelope processes. The extension to the nonstationary case is made in the time domain evaluating the covariances of the nonstationary pre-envelope showing the differences between the proposed definition and the classical one made introducing the evolutionary power.

Stationary processStochastic processMechanical EngineeringCovarianceCondensed Matter PhysicsPower (physics)Mechanical systemMechanics of MaterialsCalculusTime domainStatistical physicsRepresentation (mathematics)Envelope (mathematics)MathematicsJournal of Applied Mechanics
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Power-law relaxation in a complex system: Omori law after a financial market crash

2003

We study the relaxation dynamics of a financial market just after the occurrence of a crash by investigating the number of times the absolute value of an index return is exceeding a given threshold value. We show that the empirical observation of a power law evolution of the number of events exceeding the selected threshold (a behavior known as the Omori law in geophysics) is consistent with the simultaneous occurrence of (i) a return probability density function characterized by a power law asymptotic behavior and (ii) a power law relaxation decay of its typical scale. Our empirical observation cannot be explained within the framework of simple and widespread stochastic volatility models.

Statistical Finance (q-fin.ST)Statistical Mechanics (cond-mat.stat-mech)Stochastic volatilityStochastic processFOS: Physical sciencesQuantitative Finance - Statistical FinanceAbsolute valueCrashProbability density functionPower lawFOS: Economics and businessLawEconometricsRelaxation (physics)Time seriesCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Simulating spin models on GPU

2010

Over the last couple of years it has been realized that the vast computational power of graphics processing units (GPUs) could be harvested for purposes other than the video game industry. This power, which at least nominally exceeds that of current CPUs by large factors, results from the relative simplicity of the GPU architectures as compared to CPUs, combined with a large number of parallel processing units on a single chip. To benefit from this setup for general computing purposes, the problems at hand need to be prepared in a way to profit from the inherent parallelism and hierarchical structure of memory accesses. In this contribution I discuss the performance potential for simulating…

Statistical Mechanics (cond-mat.stat-mech)Computer scienceHigh Energy Physics - Lattice (hep-lat)Monte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyParallel computingComputational Physics (physics.comp-ph)Power (physics)CUDAHigh Energy Physics - LatticeParallel processing (DSP implementation)Hardware and ArchitectureParallelism (grammar)Ising modelGraphicsPhysics - Computational PhysicsVideo gameCondensed Matter - Statistical MechanicsComputer Physics Communications
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The Risk Premium and the Esscher Transform in Power Markets

2012

In power markets one frequently encounters a risk premium being positive in the short end of the forward curve, and negative in the long end. Economically it has been argued that the positive premium is reflecting retailers aversion for spike risk, wheras in the long end of the forward curve the hedging pressure kicks in as in other commodity markets. Mathematically, forward prices are expressed as risk-neutral expectations of the spot at delivery. We apply the Esscher transform on power spot models based on mean-reverting processes driven by independent increment (time-inhomogeneous Levy) processes. It is shown that the Esscher transform is yielding a change of mean-reversion level. Moreov…

Statistics and ProbabilityActuarial scienceStochastic processRisk aversionbusiness.industryApplied MathematicsRisk premiumTerm (time)Power (physics)Esscher transformEconomicsForward curveEconometricsElectricityStatistics Probability and UncertaintyDerivatives pricingbusinessCommodity (Marxism)MathematicsStochastic Analysis and Applications
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System size dependence of the autocorrelation time for the Swendsen-Wang Ising model

1990

Abstract We present Monte Carlo simulation results of the autocorrelation time for the Swendsen-Wang method for the simulation of the Ising model. We have calculated the exponential and the integrated autocorrelation time at the critical point T c of the two-dimensional Ising model. Our results indicate that both autocorrelation times depend logarithmically on the linear system size L instead of a power law. The simulations were carried out on the parallel computer of the condensed matter theory group at the University of Mainz.

Statistics and ProbabilityComputer simulationCritical point (thermodynamics)AutocorrelationMonte Carlo methodSquare-lattice Ising modelIsing modelStatistical physicsCondensed Matter PhysicsPower lawMathematicsExponential functionPhysica A: Statistical Mechanics and its Applications
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Searching for a strong double tracing in a graph

1998

Given a connected graph G, we present a polynomial algorithm which either finds a tour traversing each edge of G exactly two non-consecutive times, one in each direction, or decides that no such tour exists. The main idea of this algorithm is based on the modification of a proof given by Thomassen related to a problem proposed by Ore in 1951.

Statistics and ProbabilityDiscrete mathematicsInformation Systems and ManagementVoltage graphDirected graphManagement Science and Operations ResearchButterfly graphlaw.inventionCombinatoricslawGraph powerModeling and SimulationLine graphString graphDiscrete Mathematics and CombinatoricsNull graphGraph factorizationMathematicsofComputing_DISCRETEMATHEMATICSMathematicsTop
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Power laws and the market structure of tourism industry

2013

In this article, we use both graphical and analytical methods to investigate the market structure of one of the world’s fastest growing industries. For the German and Italian datasets, we show that the size distribution of tourism industry is heavy-tailed and consistent with a power-law behavior in its upper tail. Such a behavior seems quite persistent over the time horizon covered by our study, provided that during the period 2004–2009, the shape parameter is always in the vicinity of 2.5 for Germany and 2.6 for Italy. Size of the tourism industry has been proxied by the lodging capacity of hotel establishments: hotels, boarding houses, inns, lodging houses, motels, apartment hotels, touri…

Statistics and ProbabilityEconomics and EconometricsApartmentbusiness.industryDistribution (economics)Time horizonHeavy-tailed distribution Power-law behavior Shape parameter Tourism industry Market structurelanguage.human_languageGermanMarket structureMathematics (miscellaneous)Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.EconomyHeavy-tailed distributionlanguageEconomicsEconomic geographybusinessSocial Sciences (miscellaneous)TourismEmpirical Economics
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Mean-field games and dynamic demand management in power grids

2013

This paper applies mean-field game theory to dynamic demand management. For a large population of electrical heating or cooling appliances (called agents), we provide a mean-field game that guarantees desynchronization of the agents thus improving the power network resilience. Second, for the game at hand, we exhibit a mean-field equilibrium, where each agent adopts a bang-bang switching control with threshold placed at a nominal temperature. At equilibrium, through an opportune design of the terminal penalty, the switching control regulates the mean temperature (computed over the population) and the mains frequency around the nominal value. To overcome Zeno phenomena we also adjust the ban…

Statistics and ProbabilityEconomics and EconometricsMains electricityViscosity solutionDynamic demand managementPopulationDistributional solutionsInterval (mathematics)law.inventionSettore ING-INF/04 - AutomaticalawControl theoryEconomicseducationeducation.field_of_studyApplied MathematicsComputer Graphics and Computer-Aided DesignThermostatMean field gameComputer Science ApplicationsPower (physics)Computational MathematicsComputational Theory and MathematicsTerminal (electronics)Dynamic demandSettore MAT/09 - Ricerca OperativaGame theoryMathematical economics
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