Published March 9, 2026 | Version v1
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AI-Driven Digital Twins & Lean Six Sigma in Power Asset Management: Data & Code

  • 1. Jimma University Institute of Technology
  • 2. ROR icon University of South-Eastern Norway

Contributors

Data collector:

  • 1. Jimma University Institute of Technology

Description

To demonstrate the OptimTwin framework's impact on long‑term investment planning, NREL 118‑bus data (first 780 h of Region 1) were adapted for IRENA FlexTool. Digital Twins and Large‑Scale Storage reduced outages/losses, with ageing costs, salvage value, and life‑cycle recovery incorporated. A DFFNN trained on Base/Invest scenarios captured least‑cost pathways, adding an "OptimTwin" scenario with retrofitting, recycling, and 30–50% lower generation costs (based on IRENA LCOE trends). Results rely on open‑access data (NREL 118‑bus, GitHub), MATLAB’s DNN Designer, and IRENA FlexTool. Appendices detail procedures follow.

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Publication: 10.1038/s41598-026-44347-1 (DOI)