Tagged with: Energinet


PROJECT

Description model for windmill electricity production based on causal inference
Students: Preben Bruntse Nielsen
Supervisor: Philippe Bonnet
Level: MSc, Semester: Spring 2020
Tags: Causal Inference, Energinet, Electricity Forecasting

PROJECT

Clustering Perspective Forecasting Model
Students: Weisi Li
Supervisor: Philippe Bonnet
Level: MSc, Semester: Spring 2020
Tags: Machine Learning, Energinet, Electricity Forecasting

PROPOSAL

Wind turbine electricity production data is sensitive for Energinet (and for the wind turbine producers). Energinet would like to publish wind turbine electricity production data sets that can be used …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, data publication

PROPOSAL

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 …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Data Analysis

PROPOSAL

The goal of the project is to explore the accuracy of electricity production predictions based on historical data and weather predictions. This may be tackled as a sequence prediction problem using …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Forecasting, Machine Learning, Deep Learning

PROPOSAL

The goal of the project is to explore new ways of gathering data about wind turbines as well as local wind/weather conditions. To this end, sound/vibration-based and/or image-based instrumentation as …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Instrumentation, Sensors