Titlebook: Topics in Strangeness Nuclear Physics; P. Bydžovský,J. Mareš,A. Gal Book 2007 Springer-Verlag Berlin Heidelberg 2007 Meson.Particle Physic

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978-3-642-09122-3Springer-Verlag Berlin Heidelberg 2007

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nhance preparedness of power utilities’ crews to repair the outage, and this results in significant cost savings for both the utility and the consumers of electricity. Traditionally, identification of fault events in power distribution grids has been mostly a reactive and manual process with a relat

SKIFF

anagen

ODIUM

J. Haidenbauer,U.-G. Meißner,A. Nogga,H. Polindere pragmatic and theoretical aspects of the methodology. Its appeal rests on the intuitive belief that forecast corrections can be made on the basis of feedback control where forecast error from earlier times is incorporated into the dynamics. Further, the methodology is easy to implement. However, i

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er geophysical fluid flows. Data assimilation is the process whereby the uncertainty in initial conditions is reduced by the astute combination of model predictions and real-time data. This chapter reviews recent findings from investigations on the impact of chaos on data assimilation methods: for t

EVEN

o historical fault events, grid electrical values, types of infrastructure, and historical weather to forecast potential faults in a power distribution grid. An added benefit that electrical utilities can derive from implementing IIoT processes and technologies is to address the looming shortage of

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