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HANNOVER MESSE 2018, 23 - 27 April
Homepage>Conference program >Deep learning and graph for in-depth optimization of industrial flow networks
InnoEnergy European Entrepreneurs - Energy Innovation for the industry and utilities

Deep learning and graph for in-depth optimization of industrial flow networks

Location & Language

Hall 27, Stand N30/1, EnergyEfficiencyCenter

Language

English

Event Details

Type of event

Lecture

Topic

Energy Efficiency, Industrie 4.0, Integrated Energy

Event Host

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Description

DCbrain will explain how data-driven software can bring a layer of artificial intelligence on top of classic model solvers in order to help optimize day to day management operations of complex networks as well as network evolution simulation.
The presentation will include indepth review od DCbrain's use cases with Enedis, Grdf and Total.

Speaker

Host

  Achaz von Arnim

Achaz von Arnim

Senior Business Development, KIC InnoEnergy Germany GmbH

After studying electrical engineering at the TU Hannover Mr. v. Arnim started 1991 his career at Siemens AG in Erlangen, Germany. He worked mainly in the field of power generation and energy distribution, ...

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