Summary
The demand for skilled PAC professionals is rising just as renewables, digitalization, and AI are increasing system complexity. Yet, the sector faces a shortage of qualified personnel, an aging workforce, and no standardized guidelines for professional development. Current training offerings are fragmented, making it difficult for individuals and organizations to identify suitable learning paths. To address this, the authors propose a framework consisting of a PAC
Read more Read lessKnowledge Map, a competency taxonomy, and a data model for classifying training. The
Knowledge Map structures the required knowledge, skills and competencies across the PAC lifecycle, enabling clearer role definitions and targeted professional development. The taxonomy outlines four knowledge levels—understand, explain, apply, and operate— supporting the design of scientifically grounded and practice-oriented training. The data model uses metadata to describe training units, courses and offerings, enabling modular learning, individualized pathways, and coherent curriculum design. The paper highlights the need for an interdisciplinary expert group to develop and maintain the framework, ensuring consistency, scalability, and continuous improvement. Overall, the framework offers a neutral, technology-agnostic structure that supports sustainable professional development in the PAC domain.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B5_12387_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Germany |
| Study committees | |
| File size | 897 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
MARENBACH Richard - OMICRON electronics Germany; LÄNGLER Manuel - OMICRON electronics Germany; BRICH Claudia - OMICRON electronics Germany
