NuraVolt
Technical Whitepaper • 8 pages

Digital Twin Configuration Guide

Complete reference for configuring, tuning, and experimenting with NuraVolt digital twin models including CatBoost hyperparameters.

The Problem:

Default model configurations may not be optimal for all plants. Operators need guidance on tuning parameters for their specific data quality and operational requirements.

What You'll Learn:

  • 11 physics-informed features: Core (irradiance, temps), Temporal (day/hour/month), Solar geometry, Derived
  • CatBoost hyperparameters: iterations, learning_rate, depth, L2 regularization, early stopping
  • Data filtering: MAX_YEARS, MIN_PR, MIN_IRRADIANCE, VALIDATION_SPLIT
  • Quality thresholds: R² > 0.70, MAE < 50 kW for production deployment
  • Performance matrix: Parameter changes vs training time, accuracy, overfitting risk
  • Quick trial guide: --limit 5 --digital-twins-only for rapid experimentation
Digital Twin Configuration Guide

Based on: Research from NREL, Sandia Labs, IEEE studies, and operational data from 100+ MWp of GCC solar & BESS assets.

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