Webinar (AU) - AI-Assisted Cable Modelling for IEC 60287 Ampacity Studies
Join us for a 45-minute technical webinar on how artificial intelligence is being applied to automate and improve cable modelling for IEC 60287 ampacity studies. This free session is aimed at transmission engineers, cable designers, consultants and technical specialists who regularly perform cable current rating calculations and want to streamline the cable modelling process.
Accurate cable modelling is the most critical, time-consuming and error-prone step in ampacity analysis. Traditional practice involves manually extracting layer data from manufacturer datasheets and assembling a radial thermal network for IEC 60287 calculations — a task that typically takes 30 to 90 minutes per cable and requires detailed engineering expertise.
This webinar will explain how AI-assisted modelling can accelerate this workflow while improving model completeness and consistency, enabling engineers to focus on technical judgement rather than manual data extraction.
What You’ll Learn
➤ Why Cable Modelling Matters for Ampacity
Understand why a detailed, calculation-ready cable model is essential for IEC 60287 current rating studies and how small errors in layer geometry or material definitions can significantly affect conductor temperature results.
➤ Traditional Manual Modelling Workflow
Review the conventional steps engineers use to translate manufacturer datasheets into a complete radial thermal model ready for ampacity calculation, along with the common challenges encountered.
➤ How AI-Assisted Modelling Works
Learn how AI can extract layer definitions, infer missing dimensions, map materials to IEC categories and assemble complete cable models from datasheets, reducing human effort and potential for error.
➤ Comparison of AI Approaches
See how general-purpose large language models differ from custom-trained AI in terms of accuracy and readiness of the generated cable model, based on a 330 kV case study.
➤ Engineering Responsibility and Verification
Understand the engineer's role in reviewing and verifying AI-generated models before they are used in formal ampacity calculations, ensuring technical rigour and compliance.
Why You Should Attend
Cable modelling underpins every reliable ampacity calculation, but it is often slow, repetitive and prone to inconsistencies. AI-assisted modelling offers a faster, more systematic approach that extracts and completes model data directly from datasheets. Whether you are managing large HV cable libraries or performing project-specific ampacity studies, this webinar will introduce practical methods to improve efficiency and model quality.
Event Details
Duration: 45 minutes
Presenter: Jayson Patrick
Includes: Live Q&A and certificate of attendance
TERMS AND CONDITIONS
• Attendees who complete the survey form will receive their certificate within 2 to 3 business days.
• Survey forms expire within 48 hours after the webinar.
• Registered attendees will receive access to the slides and recording after the session.