https://dasya.itu.dk/tags/energinet/ Recent content in Energinet on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Sat, 01 Feb 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/projects/archive/energinet2/ Sat, 01 Feb 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/projects/archive/energinet2/ Description model for windmill electricity production based on causal inference https://dasya.itu.dk/for-students/projects/archive/energinet1/ Sat, 01 Feb 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/projects/archive/energinet1/ Clustering Perspective Forecasting Model https://dasya.itu.dk/for-students/proposals/archive/4-wind-turbine-data-publication/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/4-wind-turbine-data-publication/ 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 to train relevant models and to develop innovative applications, without giving away sensitive data. The goal of the project is to explore various data publishing methods for that purpose. https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-analysis/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-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. https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-prediction/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-prediction/ 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 recurrent neural networks The long term goal is to incorporate wind turbines in the reserve market for electricity. https://dasya.itu.dk/for-students/proposals/archive/3-wind-turbine-non-invasive-instrumentation/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/3-wind-turbine-non-invasive-instrumentation/ 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 well as innovative experiments such as balloons and light weight weather stations might be considered.