towards the future of the energy systems
About the Webinars
INESC TEC, through its Centre for Power and Energy Systems and the Energy cluster, has launched the Power and Energy Webinar Series initiative. In each webinar, a researcher from INESC TEC will present and discuss ideas, expected outcomes, or results regarding the energy systems of the future. In some webinars, external speakers will be invited. The expected duration of the webinar is between 45 minutes and 1 hour, depending on the format. Discussion between the speakers and the participants will be held in the last part of each webinar.
From Simulations to AI: Tackling Fault Detection and Classification in PV Systems
Dec 9 • 3.30 pm (GMT) • 4:30 pm (CET)
Fault detection and classification in photovoltaic power plants
Celestino Silva , Researcher at INESC TEC
PV systems are a cornerstone of renewable energy; however, they can suffer from diverse environmental conditions that can degrade their performance over time. Effective monitoring is required to minimize energy loss, prevent damage and reduce downtime through early fault detection. This presentation will cover an overview of fault detection in photovoltaic systems, using Machine Learning techniques. We will present the results derived from data collected from a specific photovoltaic power plant (PVPP), focusing on daylight operation, to effectively demonstrate the model's accuracy and overall performance.
Exploring graph neural networks: fault location in a photovoltaic system
Olga Klyagina , Researcher at INESC TEC
Photovoltaic power plants (PVPPs) are complex systems with various equipment, such as cables, junction boxes, PV modules, converters, transformers, sensors, and communication devices, all prone to failure. Large-scale PVPPs typically have a SCADA system that gathers electrical and weather data for easy operator access. However, monitoring the numerous PV modules can be a challenging task. This presentation will include a brief introduction to graph theory, explain the rationale for adapting Graph Neural Networks (GNNs) for fault location in PVPPs, and explore other potential applications of this architecture. We will also present the results of a case study to demonstrate the flexibility and accuracy of this solution.
I want to participate
PRIVACY POLICY:
The personal data collected by answering the registration form will be used by INESC TEC, as a data controller, for the sole purpose of registration and management of the event. The data will be eliminated within 15 days after the event.
Additional information
You can contact our DPO in case you have any questions related to the processing of personal data or to the exercise of your rights through the email dp*@in******.pt.
About the speakers & moderator:
Olga Klyagina, Researcher at INESC TEC
Olga Klyagina received her master’s degree in information systems and technologies in 2022, at the same time joining the Centre for Power and Energy Systems INESC TEC as a researcher. Her work primarily focuses on applying machine learning techniques to real-world challenges, particularly within the field of energy systems. Her research interests center on time-series data, including as forecasting, data augmentation and utilizing graph neural networks to capture complex relationships in energy networks.
Celestino Silva, Researcher at INESC TEC
Celestino Silva is a researcher and engineer with a master’s degree in electrical and computer engineering from the Faculty of Engineering of the University of Porto (FEUP), earned in 2024. During this time, he began working as a researcher at the Centre for Power and Energy Systems at INESC TEC, where he applies his expertise in machine learning and data analysis to challenges in power systems.
He is actively involved in power systems projects, with a particular emphasis on generating datasets using MATLAB/Simulink environment and processing synthetic datasets to uncover meaningful insights. He also leverages machine learning strategies to identify patterns in data from photovoltaic (PV) plants, optimizing performance and efficiency within energy infrastructures.
Bernardo Silva, Researcher at INESC TEC
Past Editions
To access the videos you need attend the webinars or contact us directly to energywebinars@inesctec.pt
Webinar 22
(June 28, 2024)
Webinar 21
(May 15, 2024)
Webinar 20
(Jannuary 17, 2024)
Webinar 19
(December 7, 2023)
Webinar 18
(June 19, 2023)
Webinar 17
(January 31, 2023)
Webinar 16
(November 24, 2022)
Webinar 15
(October 27, 2022)
Webinar 14
(September 29, 2022)
Webinar 13
(July 14, 2022)
Webinar 12
(January 17, 2022)
Webinar 11
(December 16, 2021)
Webinar 10
(November 17, 2021)
Webinar 9
(October 27, 2021)
Webinar 8
(July 7, 2021)
Webinar 7
(May 21, 2021)
Webinar 6
(March 26, 2021)
Webinar 5
(February 1, 2021)
Webinar 4
(November 27, 2020)
Webinar 3
(October 26, 2020)
Webinar 2
(September 14, 2020)
Webinar 1
(July 23, 2020)
Contact us
Send us an e-mail and we will contact you as soon as possible
- energywebinars@inesctec.pt
PRIVACY POLICY: The webinars will be entirely recorded. The videos/images captured will only be used for promotional and informational purposes. Therefore, the Power and Energy Webinar Series can use your picture/video in publications, such as on websites, newsletters or social media platforms, among others. If you do not want your image to be stored for dissemination purposes, please let the event organisation know.
