Computationally Efficient Market Simulation Tool for Future Grid Scenario Analysis

Wavelets for computationally efficient hyperspectral derivative analysis

Smoothing followed by a derivative operation is often used in the analysis of hyperspectral signatures. The width of the smoothing and/or derivative operator can greatly affect the utility of the method. If one is unsure of the appropriate width or would like to conduct analysis for several widths, scale-space images can be used. This paper shows how the wavelet transform modulus-maxima method ...

Electric Vehicle Scenario Simulator Tool for Smart Grid Operators

This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operators’ planning and operations but can be used by other entities for related studies. The paper describes the parameters supported by the current version of the Electric Vehicle Scenario Simulator (EVeSSi) tool and its current algorithm. EVeSSi enables th...

Making Sensitivity Analysis Computationally Efficient

To investigate the robustness of the output probabilities of a Bayesian network, a sensi­ tivity analysis can be performed. A one-way sensitivity analysis establishes, for each of the probability parameters of a network, a func­ tion expressing a posterior marginal proba­ bility of interest in terms of the parameter. Current methods for computing the coeffi­ cients in such a function rely on a ...

Economics of a Quality-of-Service interconnection market - A simulation-based analysis of a market scenario

Data transport in the Internet is managed by a large number of network operators, who independently own and operate physically and logically separated networks (autonomous systems, Crémer et al. 2000). Interconnection of these networks is a prerequisite for the large scope and accessibility of the Internet. Since network operators have commercial interests, interconnection is subject to market ...

Scenario Planning : A Tool to Prepare for the Future