AI-Based Assistance Systems in Smart Distribution Grids: Developing a Workforce Management System

IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), pp. 1–6

Abstract

The increasing decentralization and digitalization of energy distribution systems pose significant challenges to the management of operational and maintenance processes. The integration of renewable energy sources and the resulting dynamic grid conditions necessitate more adaptive, efficient, and technologically advanced workforce management (WFM) solutions. This work presents a systematic approach to modeling WFM processes tailored to the needs of modern smart grids. Based on a detailed evaluation of modeling languages and a requirements analysis informed by industry workshops, Business Process Model and Notation (BPMN) was identified as the most suitable formalism. An iterative development process was established, combining user story specification, process modeling, validation, and requirement refinement. The resulting WFM processes integrate real-time reactivity and AI-based decision support mechanisms. These include intelligent task classification, personnel selection, and resource planning, enabling human operators to make faster, more consistent decisions in dynamic grid environments. The work lays the foundation for a digitalized, flexible WFM-System that addresses the future demands of sustainable and secure energy distribution.

Authors 7

1. Sijmen Robert Boersma Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

2. Kajan Kandiah Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

3. Cansu Kahveci Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

4. Philip Song Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

5. Xuan-Anh Nguyen Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

6. Max-Ferdinand Stroh Aachen Department of Information Management

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Department of Information Management,Aachen,Germany

7. Wolfgang Boos Aachen

   FIR e. V. an der RWTH Aachen

   Affiliation as printed

   FIR an der RWTH Aachen,Aachen,Germany