Artificial Intelligence (AI) in Power Systems

Lecture 1 (40 min.)
Trustworthy AI for DER Integration: A Validation Framework for Distribution Grid Congestion Management
Gianluca Lipari (EPRI Europe, Ireland)

This lecture highlights the development of trustworthy AI solutions and 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, training, and validation 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.)
TBA
NN

TBA

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, covering deterministic and probabilistic forecasts. We will then analyze how advanced feature engineering, particularly the use of spatiotemporal information from Numerical Weather Predictions, can improve the forecasting skill of these methods. The second part of the session will provide a closer look at ongoing research on collaborative forecasting at INESC TEC. This includes innovative techniques that combine market-based mechanisms with ensemble forecasting (i.e., based on data from different suppliers) to improve the precision and reliability of RES forecasts, supported by operational results.

Discussion & Short Break (15 min)

Lecture 4 (40 min.)
TBA
NN

TBA

Discussion &  Short Break (15 min)

LUNCH