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NMP – nya managementpraktiker

Personcentrerad vård och kommunikation

Simulering och optimering för framtida industriella applikationer

Stokastiska processer, statistik och finansmatematik

Teknisk matematik

Artificiell intelligens och intelligenta system

Learning, Inclusive education, School transitions – for All (LISA)

Lärande och optimering

Medicinsk teknik

M-TERM - Mälardalen University Team of Educational Researchers in Mathematics

Mälardalen INteraction and Didactics (MIND)

Digitalization of HVDC grids by means of smart data discovery

DIGEST will develop new methods and algorithms to dynamically transform data streams continuously generated from HVDC grid into a smart case base, which will be utilized in real-time analysis of the network leading to fast fault identification and protection of the HVDC grid.

Start

2018-07-01

Planerat avslut

2020-12-31

Huvudfinansiering

Vinnova

Samarbetspartners

ABB AB och ABB Corporate Research

Projektansvarig vid MDH

Professor i artificiell intelligens/lärande system

Ning Xiong

+4621151716

ning.xiong@mdh.se

DIGEST will develop new methods and algorithms to dynamically transform data streams continuously generated from HVDC grid into a smart case base, which will be utilized in real-time analysis of the network leading to fast fault identification and protection of the HVDC grid.