  The installation process of offshore wind turbines requires the use of
expensive jack-up vessels. These vessels regularly report their position via
the Automatic Identification System (AIS). This paper introduces a novel
approach of applying machine learning to AIS data from jack-up vessels. We
apply the new method to 13 offshore wind farms in Danish, German and British
waters. For each of the wind farms we identify individual turbine locations,
individual installation times, time in transit and time in harbor for the
respective vessel. This is done in an automated way exclusively using AIS data
with no prior knowledge of turbine locations, thus enabling a detailed
description of the entire installation process.
