Wind turbine electricity production analysis

Supervisors: Philippe Bonnet, Sebastian B├╝ttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Data Analysis

Energinet has a model that describes the electricity production of a given wind turbine given wind conditions. The current model based on kNN is trained with DMI weather data and historical electricity production data for the wind turbine. The goal of the project is to improve the current model with lifelong learning, extended weather data and different models for a range of different wind turbines. Testing models in reverse, it should also be possible to derive wind conditions from a turbine’s electricity production.