Search results for "swa"

showing 10 items of 430 documents

THE STOCHASTIC VOLATILITY MODEL OF BARNDORFF-NIELSEN AND SHEPHARD IN COMMODITY MARKETS

2010

We consider the non-Gaussian stochastic volatility model of Barndorff-Nielsen and Shephard for the exponential mean-reversion model of Schwartz proposed for commodity spot prices. We analyze the properties of the stochastic dynamics, and show in particular that the log-spot prices possess a stationary distribution defined as a normal variance-mixture model. Furthermore, the stochastic volatility model allows for explicit forward prices, which may produce a hump structure inherited from the mean-reversion of the stochastic volatility. Although the spot price dynamics has continuous paths, the forward prices will have a jump dynamics, where jumps occur according to changes in the volatility p…

Economics and EconometricsStochastic volatilityApplied MathematicsImplied volatilityHeston modelConstant elasticity of variance modelAccountingVolatility swapForward volatilityVolatility smileEconomicsVolatility (finance)Mathematical economicsSocial Sciences (miscellaneous)FinanceMathematical Finance
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Modeling Term Structure Dynamics in the Nordic Electricity Swap Market

2010

We analyze the daily returns of Nordic electricity swaps and identify significant risk premia in the short end of the market. On average, long positions in this part of the swap market yield negative returns. The daily returns are distinctively non-normal in terms of tail-fatness, but we find little evidence of asymmetry. We investigate if the flexible four-parameter class of normal inverse Gaussian (NIG) distributions can capture the observed stylized facts and find that this class of distributions offers a remarkably improved fit relative to the normal distribution. We also compare the fit with that of the four-parameter class of stable distributions; the NIG law outperforms the stable la…

Economics and EconometricsStylized factbusiness.industryFinancial economicsLévy processNormal distributionInverse Gaussian distributionsymbols.namesakeGeneral EnergySwap (finance)symbolsEconomicsElectricity marketElectricityCurrent yieldbusinessThe Energy Journal
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Volatility co-movements: a time-scale decomposition analysis

2015

In this paper, we are interested in detecting contagion from US to European stock market volatilities in the period immediately after the Lehman Brothers collapse. The analysis is based on a factor decomposition of the covariance matrix, in the time and frequency domain, using wavelets. The analysis aims to disentangle two components of volatility contagion (anticipated and unanticipated by the market). Once we focus on standardized factor loadings, the results show no evidence of contagion (from the US) in market expectations (coming from implied volatility) and evidence of unanticipated contagion (coming from the volatility risk premium) for almost any European country. Finally, the estim…

Economics and EconometricsVariance swapStochastic volatilityFinancial economicsSettore SECS-P/05 - Econometriaheteroskedasticity biasImplied volatilityVolatility risk premiumwaveletsrealized volatilityvolatility risk premiumcontagionVolatility swapImplied volatility Realized volatility Volatility risk premium Contagion Heteroskedasticity bias WaveletsVolatility smileForward volatilityEconometricsEconomicsimplied volatility; realized volatility; volatility risk premium; contagion; heteroskedasticity bias; wavelets.Volatility (finance)Financeimplied volatility
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Passive congregation based particle swam optimization (pso) with self-organizing hierarchical approach for non-convex economic dispatch

2017

This paper proposes a passive congregation based PSO with self-organizing hierarchical algorithm approach for solving the economic dispatch problem of power system, where some of the units have prohibited operating zones. This Algorithm is known to perform better than conventional gradient based optimization methods for non-convex optimization problems. Conventional PSO algorithm is a population based heuristic search, employing problem of premature convergence. In this work, an innovative approach based on the concept of passive congregation based PSO with self-organizing hierarchical approach is employed to overcome the problem of premature convergence in classical PSO method.

Electric power systemMathematical optimizationOptimization problemConvergence (routing)MathematicsofComputing_NUMERICALANALYSISRegular polygonEconomic dispatchParticle swarm optimizationPremature convergenceHierarchical algorithm2017 2nd International Conference on Power and Renewable Energy (ICPRE)
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Training Artificial Neural Networks With Improved Particle Swarm Optimization

2020

Particle Swarm Optimization (PSO) is popular for solving complex optimization problems. However, it easily traps in local minima. Authors modify the traditional PSO algorithm by adding an extra step called PSO-Shock. The PSO-Shock algorithm initiates similar to the PSO algorithm. Once it traps in a local minimum, it is detected by counting stall generations. When stall generation accumulates to a prespecified value, particles are perturbed. This helps particles to find better solutions than the current local minimum they found. The behavior of PSO-Shock algorithm is studied using a known: Schwefel's function. With promising performance on the Schwefel's function, PSO-Shock algorithm is util…

Electricity demand forecastingMathematical optimizationArtificial neural networkComputer science020209 energyComputer Science::Neural and Evolutionary ComputationMathematicsofComputing_NUMERICALANALYSIS0202 electrical engineering electronic engineering information engineeringTraining (meteorology)Particle swarm optimization020201 artificial intelligence & image processing02 engineering and technology
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Lateral pterygoid muscle dystonia. A new technique for treatment with botulinum toxin guided by electromyography and arthroscopy

2010

Lateral pterygoid muscle dystonia is characterized by mandibular displacement towards the opposite side of the affected muscle. It may be associated with functional disorders affecting speech, swallowing, chewing and facial symmetry. Injection with botulinum toxin is recognized as the most effective treatment. Locating the lower head of the lateral pterygoid muscle for the injection is not difficult using electromyographic guidance; however, location of the upper head is more complicated, even with electromyography. We report a case of lateral pterygoid muscle dystonia in which precise injection of the upper head was achieved with the aid of arthroscopy.

ElectromyographyLateral pterygoid muscleArthroscopySwallowingstomatognathic systemotorhinolaryngologic diseasesMedicineHumansBotulinum Toxins Type AGeneral DentistryDystoniamedicine.diagnostic_testbusiness.industryElectromyographyArthroscopyPterygoid MusclesAnatomyMiddle Agedmedicine.disease:CIENCIAS MÉDICAS [UNESCO]Botulinum toxinDystoniaOtorhinolaryngologyNeuromuscular AgentsUNESCO::CIENCIAS MÉDICASSurgeryFemalebusinessPterygoid Musclesmedicine.drugFacial symmetry
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Optimizing droop coefficients for minimum cost operation of islanded micro-grids

2017

This paper shows how minimum cost energy management can be carried out for islanded micro-grids considering an expanded state that also includes the system's frequency. Each of the configurations outputted by the energy management system at each hour are indeed technically sound and coherent from the point of view of generation-consumption balancing by exploiting a frequency dependent load flow algorithm. A Glow-worm Swarm Optimization (GSO) algorithm carried out in a 24 hour time frame provides optimized results. A test has been carried out for a residential PV-Storage-Microturbine islanded micro-grid to show the feasibility as well as the efficiency of the proposed approach and results ar…

EngineeringEnvironmental EngineeringEnergy management020209 energyGlow-worm swarm optimizationFlow (psychology)Optimal power flow (OPF)Energy Engineering and Power Technology02 engineering and technologyMicro-gridIndustrial and Manufacturing EngineeringTime frameControl theory0202 electrical engineering electronic engineering information engineeringPoint (geometry)Voltage droopElectrical and Electronic EngineeringSimulationbusiness.industryEnergy managementSwarm behaviourSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemState (computer science)business2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Piezoelectric energy harvesting from raised crosswalk devices

2015

This paper presents the main characteristics of an experimental energy harvesting device that can be used to recover energy from the vehicular and pedestrian traffic. The use of a piezoelectric bender devices leads to a innovative approach to Henergy Harvesting. The study focuses on the definition and specification of a mechanical configuration able to transfer the vibration from the main box to the piezoelectric transducer. The piezoelectric devices tested is the commonly used monolithic piezoceramic material lead-zirconate-titanate (PZT). The experimental results estimate the efficiency of this device tested and identify the feasibility of their use in real world applications. The results…

EngineeringFinite element methodbusiness.industryEnergy harvestingPiezoelectricityElectric circuitTransient analysiVibrationElectric circuit; Energy harvesting; Finite element method; Piezoelectric; Transient analysis; Physics and Astronomy (all)Physics and Astronomy (all)Schema crosswalkElectronic engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiPiezoelectricbusinessEnergy harvestingEnergy (signal processing)
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Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids

2015

In this paper, an optimal power dispatch problem on a 24-h basis for distribution systems with distributed energy resources (DER) also including directly controlled shiftable loads is presented. In the literature, the optimal energy management problems in smart grids (SGs) where such types of loads exist are formulated using integer or mixed integer variables. In this paper, a new formulation of shiftable loads is employed. Such formulation allows reduction in the number of optimization variables and the adoption of real valued optimization methods such as the one proposed in this paper. The method applied is a novel nature-inspired multiobjective optimization algorithm based on an original…

EngineeringMathematical optimizationsmart-gridPareto optimizationwarm-optimizationHeuristic (computer science)Energy managementswarm-optimizationDemand side managementmart-gridsReduction (complexity)Electric power systemDemand side management;Pareto optimization;swarm-optimization;shiftable loads;smart-gridshiftable loadElectrical and Electronic EngineeringMulti-swarm optimizationbusiness.industryComputer Science Applications1707 Computer Vision and Pattern Recognitionsmart-gridsComputer Science ApplicationsSettore ING-IND/33 - Sistemi Elettrici Per L'Energiashiftable loadSmart gridControl and Systems EngineeringDistributed generationshiftable loadsbusinessInformation SystemsInteger (computer science)IEEE Transactions on Industrial Informatics
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Memetic Differential Evolution Frameworks in Filter Design for Defect Detection in Paper Production

2009

This chapter studies and analyzes Memetic Differential Evolution (MDE) Frameworks for designing digital filters, which aim at detecting paper defects produced during an industrial process. MDE Frameworks employ the Differential Evolution (DE) as an evolutionary framework and a list of local searchers adaptively coordinated by a control scheme. Here, three different variants of MDE are taken into account and their features and performance are compared. The binomial explorative features of the DE framework in contraposition to the exploitative features of the local searcher are analyzed in detail in light of the stagnation prevention problem, typical for the DE. Much emphasis in this chapter …

EngineeringProcess (engineering)business.industryParticle swarm optimizationImage processingcomputer.software_genreFilter designDifferential evolutionMemetic algorithmData miningArtificial intelligenceAdaptation (computer science)businesscomputerContraposition (traditional logic)
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