AI-Driven Digital Twins & Lean Six Sigma in Power Asset Management: Data & Code

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Authors: Shewit Tsegaye, Sanjeevikumar Padmanaban
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Integrated Energy Systems Optimization Optimal Power Flow Distribution Electric Power System Optimization

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 March 2026
Language
EN
Document type
Book