| Document Date: 2015-01-12 10:35:11
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City Paris / / Company Power Systems / Cambridge University Press / Nemirovski A.S. / / Currency USD / / / Event Person Communication and Meetings / / Facility Virtual Power Plant / Transport Research Arena / / IndustryTerm fleet management / online fashion / electricity market / priority processing first / sequential energy transfers / semi-online setting / classical optimization algorithms / expected energy needs / energy market / automatic tool / contracted energy / energy consumption / energy needs / contracted energy quantity / online scheduling / online resource allocation problem / energy quantity / energy transfers / energy requirements / approximate solution / neural networks / semi-online rule-based scheduling approach / charge infrastructure / electricity distribution grid / charge/grid infrastructure / electric utilities / overall energy need / classic learning algorithms / products/services / computing / semi-online setting exploiting day-ahead global statistics / online setting / energy contract / rule-based semi-online algorithm / electrical systems / exhaustive search / approximate solutions / energy services / online scheduling problem corresponding / energy / fleet operator / online rule-based scheduling algorithm / / Organization Cambridge University / European Commission / European Union / / Person Pierre Blancharta / Pierre Blanchart / / / Position driver / fleet manager / market player / considered business model / a fleet manager / / Product El / / Technology online Dispatching algorithm / Gif / rule-based semi-online algorithm / dispatching algorithm / Simplex algorithm / classical optimization algorithms / Newton-Raphson algorithms / machine learning / online rule-based scheduling algorithm / Simulation / classic learning algorithms / / URL www.edash.eu / /
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