Publications and responsibilities
Automated Detection of Electric Vehicles in Hourly Smart Meter Data
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...
Big Data, Data Science & Machine Learning
Signal discovery in the smart grid - finding electical vehicle charging patterns in power consumption data
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) ...
Big Data, Data Science, and Machine Learning
Energy analytics - opportunities for energy monitoring and prediction with smart meters
By 2019, Norway will complete the national rollout of advanced metering systems (AMS) for all customers. Beyond near-time monitoring of voltage quality and frictionless billing of customers, such a rollout opens a host of possibilities. However, a full-scale rollout is not without challenges. For in...