Text
Artificiell intelligens och intelligenta system
k
Hållbar livsstil och hälsa ut ett folkhälsoperspektiv
Learning, Inclusive education, School transitions – for All (LISA)
Lärande och optimering
Medicinsk teknik
M-TERM - Mälardalen University Team of Educational Researchers in Mathematics
Forskargruppen MIND (Mälardalen INteraction and Didactics)
Personcentrerad vård och kommunikation
Stokastiska processer, statistik och finansmatematik
Teknisk matematik
Vård, återhämtning och hälsa
Förnybar energi
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.
Avslutat
Start
2018-07-01
Avslut
2020-12-31
Huvudfinansiering
Vinnova
Samarbetspartners
ABB AB och ABB Corporate Research
Forskningsområde
Projektansvarig vid MDH
Professor i artificiell intelligens/lärande system
Ning Xiong
021-15 17 16
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.