Data underlying the PhD thesis: Learning-based Distributed Resource Flexibility Estimation for Enhanced TSO-DSO Coordination

DOI:10.4121/4fdcbda5-e7bf-4b20-bd3c-5f99dce49679.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/4fdcbda5-e7bf-4b20-bd3c-5f99dce49679

Datacite citation style

Chrysostomou, Demetris (2025): Data underlying the PhD thesis: Learning-based Distributed Resource Flexibility Estimation for Enhanced TSO-DSO Coordination. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4fdcbda5-e7bf-4b20-bd3c-5f99dce49679.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Data for case studies for the selection of flexibility areas using probabilistic machine learning under measurement uncertainty. Data pertaining to other data-driven approaches in my thesis was confidential.

History

  • 2025-08-21 first online, published, posted

Publisher

4TU.ResearchData

Format

CSV, MD

Funding

  • NWO MEGAMIND Project (grant code P19-25) NWO

Organizations

TU Delft, Delft AI Energy Lab

DATA

Files (14)