Abstract
Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have
the potential to contribute to more than just a more accurate billing of customers. This report is a result from the ENERGYTICS project, which aims at exploring this potential.
This state-of-the-art includes a description of experiences and technical advances regarding deployment of smart meters in the Scandinavian countries and Finland and possible benefits and advantages of deploying data science on data from the electricity grid. Different data sources in the distribution electricity grid and relevant data science
techniques are presented. The focus of the state-of-the-art is on two applications of data science: clustering of customers and disaggregation of total electricity consumption into the consumption of individual loads.
the potential to contribute to more than just a more accurate billing of customers. This report is a result from the ENERGYTICS project, which aims at exploring this potential.
This state-of-the-art includes a description of experiences and technical advances regarding deployment of smart meters in the Scandinavian countries and Finland and possible benefits and advantages of deploying data science on data from the electricity grid. Different data sources in the distribution electricity grid and relevant data science
techniques are presented. The focus of the state-of-the-art is on two applications of data science: clustering of customers and disaggregation of total electricity consumption into the consumption of individual loads.
