Publication
Predicting the Grid -- Severe Weather, Outages, and Power Quality Forecast
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1722651
Volker Hoffmann
Research Scientist
Volker Hoffmann
Research Scientist
Phone:
+47 921 68 545
Email:
volker.hoffmann@sintef.no
Unit:
SINTEF Digital
Department:
Software and Service Innovation
Office:
Oslo
Publications and responsibilities
Publication
Climate, Satellites, & AI -- Perspectives in Space-Based Remote Sensing, Deep Learning for Climate Analytics, and Hybrid Analytics
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1722650
Publication
Explainable AI -- Why? When? How?
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1722648
Publication
Incipient Fault Prediction in Power Quality Monitoring
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1722646
Year
2019
Type
Conference lecture and academic presentation
Publication
Incipient Fault Prediction in Power Quality Monitoring
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1722638
European and global power grids are moving towards a Smart Grid architecture. Supporting this, advanced measurement equipment such as PQAs and PMUs are being deployed. These generate vast amounts of data upon which machine learning models capable of forecasting incipient faults can be built. We use ...
Year
2019
Type
Journal publication
Publication
Automated Detection of Electric Vehicles in Hourly Smart Meter Data
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1700789
Authors
Hoffmann Volker
Ingebrigtsen Karoline
Year
2019
Type
Conference lecture and academic presentation
Publication
Automated Detection of Electric Vehicles in Hourly Smart Meter Data
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1697556
Automated detection of EVs from smart meter data can provide important insights for DSOs about spatiotemporal EV charging patterns. However, smart meters typically provide only hourly measurements of consumption while most load disaggregation techniques require at least minute level data. We use mac...
Publication
Prediksjon av værrelaterte feil i høyspenningsnettet
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1697548
Data for store feil i nettet og historiske værmeldinger er brukt for å se hvilke parametere som mest relevant og om det er mulig å predikere feil. Presentasjon ved Volker Hoffmann. Delaktivitet i forskningsprosjektet Energytics. Https://www.sintef.no/prosjekter/energytics/...
Publication
Big Data, Data Science & Machine Learning
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1700695
Publication
Signal discovery in the smart grid - finding electical vehicle charging patterns in power consumption data
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1697763
New technology enables power grid operators for the first time to monitor the dynamics of the power grid from hour to hour. The flexibility in operation this facilitates is crucial for an age of unpredictable power sources such as wind and solar. However, such advanced metering infrastructure (AMI) ...