Final project workshop in spring 2028
GridData M18 internal progress meeting, 4-5 November 2026, Oslo, Norway
GridData Stakeholder Workshop 2, 4 November 2026
The GridData consortium is organizing a second online workshop/webinar to give you an update of some new work performed by the GridData consortium, and to allow you to ask questions and provide feedback.
This workshop replaces the 'Stakeholder Meeting at the end of 2026' that we had announced earlier as we think this format will be more informative and attractive.
The workshop includes presentations from the Dutch DSO Alliander and our colleagues from North West University from South Africa.
If you would like to join the workshop, please open and accept this invitation. Please feel free to join and leave the meeting at any moment that suits you.
If the .ics file invitation does not work for you, please register at Registration Form for 2nd GridData Stakeholder Workshop - 4 Nov 2026 - 2 to 4 p.m. CET.
For any questions, please contact the project coordinator Gertjan Kok, gkok@vsl.nl.
Date & time: Wednesday 4 November from 14:00 till 16:00.
14:00 - Very short project introduction & agenda, by Gertjan Kok, VSL
14:05 - End-to-end forecast evaluation using congestion management simulations, by Bart Pleiter Alliander
14:25 - Online detection of unreliable measurement data points, by Petri Luomala, RISE
14:45 - On the assessment of voltage flicker emission in distribution grids hosting renewable power plants, by Johan Rens, NWU
15:05 - A framework for simulation, analysis, and dataset generation of power system phenomena, by Fardin Noori, UNIBO
15:25 - Software with models for PMU instrument errors and measurement of SSOs by PMUs, by Paolo Pegoraro, UNICA
15:55 - Final discussion and closure at 16:00, by Gertjan Kok, VSL
GridData online Stakeholder Workshop 1, 24 April 2026
The European research project "Metrology for reliable grid data analytics" (GridData) organized an online workshop at which some first project results were presented. There was also ample opportunity for questions and discussion.
The program of the workshop can be found below. The presentations can be downloaded by clicking on the titles of the presentations.
10:00 – 10:10: Welcome and introduction to the GridData project by Gertjan Kok, coordinator of the GridData project
10:10 – 10:30: Invited talk “Hands on experience of deploying ML into an energy network system operator and control room to explore decision making under uncertainty using grid analytics” by Gabriel Griffin Booth from DNV’s Digital Energy team
10:30 – 10:50: Congestion Forecasting by Ties van der Heijden from TU Delft
10:50 – 11:10: Soil Dry-out by Petri Luomala from RISE
11:10 – 11:30: Detection and characterisation of grid frequency events by Freddy Wilkins from NPL
11:30 – 11:50: Power Quality by Max Domagk from TU Dresden
11:50 – 12:00: Final Q&A and announcements
12:00: End of the webinar
Stakeholder Questionnaire launched, 12 December 2025
A questionnaire for stakeholders has been launched. If you would like to help shaping the GridData project, ensuring the research is tuned to the most urgent needs, please fill out the questionnaire at GridData Stakeholder Questionnaire – Fill out form!
First Stakeholder Committee meeting, 11 December 2025
The first meeting of the project with its recently established stakeholder committee took place on 11 December 2025. Various members of the consortium presented the research plans and the stakeholders got the opportunity to ask questions and provide feedback. The presentation can be found here.
The project officially began on June 1, 2025.
The kick-off meeting was held in Delft, the Netherlands, from June 18 to 19, hosted by VSL. Special thanks to the local organizer and project coordinator, Gertjan Kok from VSL, for making the event a success.
It was a two-day event marked by strong collaboration, focused on advancing key objectives in power grid data analytics. Topics included characterizing the quality of grid measurement data, developing traceable test datasets, assessing robustness, and evaluating uncertainty.