Tutorial: Artificial Intelligence (AI) in Power Systems
Date
- 29 September 2026
- 08:30 – 13:00
- Room: tba
Information
The Tutorial will be held at the workshop venue, the Pestana Douro Riverside.
Please come to the main registration desk to collect your conference badge before going to the tutorial.
Tutorial Lecturers
Alberto Dognini
(EPRI Europe, Ireland)
NN
(Hitachi Energy, Europe)
Ricardo Andrade
(INESC TEC, University of Porto, Portugal)
NN
Preliminary Agenda
Lecture 1 (40 min.)
Trustworthy AI for DER Integration: A Testing and Experimentation Facility for Distribution Grid Congestion Management
Alberto Dognini (EPRI Europe, Ireland)
This lecture highlights the development of trustworthy AI solutions and, specifically, the validation of these tools for grid applications, with a particular emphasis on EPRI’s work through the AI-EFFECT Testing and Experimentation Facility. This facility is instrumental in the development, validation and enhancement of AI agents, and a practical example of an AI tool designed for DER integration in distribution grids will be provided.
Discussion & Short Break (15 min)
Lecture 2 (40 min.)
AI-Enhanced Digital Twins for Congestion Management
NN (Hitachi Energy, Europe)
A hybrid physics-based + Ml digital twin architecture continuously updates to reflect live grid conditions – enabling proactive congestion management and maximised renewable hosting capacity at transmission scale, proven at transmission scale. This lecture covers:
- Digital Twin Architecture
Physics-based power system models combined with ML – continuously updated digital representations of live grid behaviour - Congestion Prediction & Mitigation
Proactive identification of network constraints and optimisation of corrective actions before problems emerge in operations - Hosting Capacity Optimisation
Maximising the volume of renewable generation that can be integrated without curtailment or grid reliability risks - SCADA /EMS/ Planning Integration
Seamless fit with existing operational tools – reducing the deployment friction that causes most Al grid projects to stall
Discussion & Short Break (15 min)
Coffee Break
Lecture 3 (40 min.)
AI for Renewable Energy Forecasting
Ricardo Andrade (INESC TEC, University of Porto, Portugal)
The variability and uncertainty of renewable energy sources (RES) introduce significant challenges for power system management, making accurate forecasting essential. This session will begin with an overview of traditional forecasting methods and how advanced feature engineering, particularly the use of spatiotemporal information from Numerical Weather Predictions, can significantly improve the forecasting skill. The second part of the session will provide a closer look at Predico, a collaborative forecasting platform created by INESC TEC, which combines market-based mechanisms with ensemble forecasting to aggregate information from multiple independent forecasters. Predico has been running as an operational proof-of-concept with Elia, the Belgian TSO, producing forecasts for offshore wind and total solar generation. The session closes with operational results from this deployment.
Discussion & Short Break (15 min)
Lecture 4 (40 min.)
TBA
NN
TBA
Discussion & Short Break (15 min)
LUNCH
Participation Fees & Registration
- The Tutorial in not included in the general participation fee of the Wind & Solar Integration Workshop.
- As the number of participants for the Tutorial is limited, tickets are available on a first come, first served basis.
- The Tutorial can be canceled if less than 10 participants register.
- Registration will open on 15 June 2026.
About our Tutorials
In our tutorials, you have the opportunity to deepen your knowledge regarding crucial renewables topics in an intimate setting.
In intense presentations by specially invited experts you gain not only detailed knowledge but also a unique hands-on-experience.