Unipower och Eneryield erbjuder maskininlärningsbaserad prediktering av fel

Unipower offers machine learning based prediction of faults analytics in collaboration with the startup Eneryield from Chalmers University of Technology

Genom ett samarbete med universitetets spin out Eneryield, som utvecklar maskininlärningsbaserade metoder för intelligent analys av elkvalitet, erbjuder Unipower en ny typ av funktionalitet för att ge insikter kring fel som uppstår i elnätet. Forskarna Ebrahim Balouji och Karl Bäckström från Chalmers tekniska högskola är grundare av Eneryield och ligger bakom lösningen. I samarbete med […]

Unipower and Eneryield offer machine learning based prediction of faults

Unipower offers machine learning based prediction of faults analytics in collaboration with the startup Eneryield from Chalmers University of Technology

Through a collaboration with the university spin out Eneryield, which is developing machine learning based methods for intelligent power quality analysis, Unipower is offering a new type of functionality to give insights in the work with evolving faults. The researchers Ebrahim Balouji and Karl Bäckström from Chalmers University of Technology are founders of Eneryield and […]