Process Mining for Power Grid Connection & Maintenance Ops

This workflow examines event logs from power grid connection and maintenance operations, discovers underlying process models using process mining algorithms, generates process trees and flow diagrams, and evaluates how closely actual operations align with these models.

• Visually explore event logs, highlighting trace variants and performance metrics such as lead times and SLA breaches by region
• Identify common activity patterns and transitions within operational processes using process mining algorithms
• Convert the resulting process tree into Petri nets and BPMN diagrams
• Evaluate conformance between real-world process execution and discovered models

The workflow visually explores the event log to identify key activities, lead times, and resource allocation across activities. It also aggregates performance metrics by region, providing insight into where delays or inefficiencies occur.

Using process mining algorithms, the workflow uncovers the actual sequence of activities and transitions in the connection and maintenance processes. It generates process models that represent the typical flow of operations, capturing both common and exceptional paths.

The discovered process models are transformed into representations such as Petri nets and BPMN diagrams. These visualizations help stakeholders understand the structure and complexity of the operational processes.

The workflow compares real execution traces against the discovered models using conformance checking techniques. It measures how well actual behavior aligns with the ideal process, highlighting deviations and quantifying fitness, performance, precision and generalization.