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
NN
(EPRI Europe, Ireland)
NN
Ricardo Andrade
(INESC TEC, University of Porto, Portugal)
NN
Preliminary Agenda
Lecture 1 (40 min.)
Introductory talk on AI Use Cases Related to Grid Integration
NN (EPRI Europe, Ireland)
This presentation provides an in-depth examination of the transformative role artificial intelligence plays in integrating renewable energy sources into modern power grids. We will explore advanced AI applications designed to optimize grid management, improve the accuracy of solar and wind energy forecasting, and maintain grid stability in the face of fluctuating energy inputs. By highlighting practical implementations, this session will demonstrate how AI-driven solutions facilitate intelligent demand response, predictive maintenance, and coordinated operation of distributed energy resources—collectively supporting the development of a more resilient and sustainable energy infrastructure.
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
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.
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.