In a few years all electricity consumers in Denmark must have a smart meter, which can read their electricity consumption at high time resolutions (e.g. down to 15 minutes intervals). All data from these meters will be available through the DataHub
and many actors on the electricity market can access this data (if the consumer allows them the access) and use it for different purposes. SEAS-NVE has seen the potential and have, in cooperation with DTU Compute, developed the app Watts
, which analyze the electricity consumption for a costumer and advises the consumer on how to make better use of electricity, be more green and save money on the bill. In this project we will team up with SEAS-NVE and choose some of many interesting ideas we have to further develop features in the app. Hence the core is to apply statistical modeling techniques - exactly which type of model is most suited depends on the application, and use the model output as basis for a feature in the app.
Good R programming skills and some advanced courses in statistical modeling