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PAMSEN — Predictive Asset Management Smart Energy Network

PAMSEN is a decision-support tool for multi-year, budget-constrained cable maintenance planning. It ingests your GIS/asset registers and model outputs, estimates asset failure risk, and proposes transparent, auditable renewal portfolios (Repair/Replace/Do nothing) that balance costs, reliability indices (SAIFI/SAIDI/ASIDI), and the number of replaced cables.

Key features:

  • Data preparation & validation: Reads cable attributes, costs, customers serviced, and geometries; standardizes schemas/CRS for repeatable runs.
  • Risk modelling: Uses a Neural Weibull Proportional Hazards (NWPH) model—censoring/truncation aware—to derive per-cable failure rate.
  • Optimization engine: Mixed-integer, multi-horizon planning to minimize outage cost under annual budgets over a horizon considering failure dynamics. Return a selected plan with full audit tables for repair or replacement of cables.
  • Maps & KPIs: Interactive action maps (Replace/Repair/Replaced/Do nothing), failure probability and customers overlays, plus yearly counts, budget utilization, and CSV exports.

 

Related publications:

Reliability-aware multi-objective approach for predictive asset management: A Danish distribution grid case study

Proactive Cable Replacement Planning Using Neural Weibull Proportional Hazard Modeling and Bayesian Nested Monte Carlo Simulation Under Data Deficiencies

Relative fault vulnerability prediction for energy distribution networks

 

Principal investigator: Hamid Reza Shaker

Development team:  Hamid Mirshekali, Mohammad Reza Shadi

Tool link: Book a Demo (send email to hrsh@mmmi.sdu.dk

 

 

Last Updated 22.10.2025