Summary
The webinar will delve into how AI can revolutionize the structure of legacy documents related to Protection, Control, and Supervision Systems (PCSS). Participants will learn about the challenges of unstructured data in asset management and discover AI solutions that automatically organize this information into centralized, searchable databases, improving efficiency and reliability in operations and maintenance.
Additionally, the webinar will introduce Physics-Informed Neural Networks (PINNs) as a cutting-edge method for accelerating power system simulations. Attendees will explore how PINNs provide faster and more accurate results, significantly reducing computational costs and enhancing the scalability of simulation platforms, especially with the growing integration of renewable energy sources.
The session will also feature real-world applications and case studies demonstrating the successful implementation of AI data structuring and PINNs in power system management. Practical insights and strategies will be provided to help participants adopt these technologies within existing infrastructure to achieve optimal operational results.
Finally, the webinar will address future trends and implications of AI and neural network technologies in the power industry. Participants will engage in discussions on emerging developments, learn how to prepare for these advancements, and understand how to leverage these innovations to stay ahead in the dynamic energy sector.
Overall, this webinar aims to equip attendees with the knowledge and tools to harness the power of AI and neural networks for smarter, faster, and more reliable power system management.
Additional informations
| Publication type | Webinars |
|---|---|
| Reference | WBN065 |
| Publication year | |
| Publisher | CIGRE |
| Study committees | |
| File size | 17 MB |
| Pages number | 58 |
| Price for non member | 50 € |
| Price for member | Free |
Speakers
Ignasi VENTURA, NGN Denmark & Renata FERNANDES, NGN Brazil
