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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
Forskargrupp
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.
