  NorthWind, a collaborative research initiative supported by the Research
Council of Norway, industry stakeholders, and research partners, aims to
advance cutting-edge research and innovation in wind energy. The core mission
is to reduce wind power costs and foster sustainable growth, with a key focus
on the development of digital twins. A digital twin is a virtual representation
of physical assets or processes that uses data and simulators to enable
real-time forecasting, optimization, monitoring, control and informed
decision-making. Recently, a hierarchical scale ranging from 0 to 5 (0 -
Standalone, 1 - Descriptive, 2 - Diagnostic, 3 - Predictive, 4 - Prescriptive,
5 - Autonomous has been introduced within the NorthWind project to assess the
capabilities of digital twins. This paper elaborates on our progress in
constructing digital twins for wind farms and their components across various
capability levels.
