Renewable Energy: Battery Energy Storage (BESS) Health

At a glance

Task: regression  |  Headline: r2 = 1.0

Summary

Project

Config-driven data science pipeline for high-fidelity industrial domains.

What was investigated

The engagement modelled the target 'soh_percentage' as a regression problem in the Renewable Energy: Battery Energy Storage (BESS) Health domain, using 2000 records across 10 columns (data source: Synthetic sandbox). The pipeline audited data quality, engineered features, split the data honestly into train/test, and compared several models by cross-validation.

Outcome

The selected model was Ridge, with r2 = 1.0000 on the held-out test set. Supporting metrics: rmse=0.004, mae=0.003, median_ae=0.003, mape=0.003, adj_r2=1.000, explained_variance=1.000, mean_residual=0.003. Full results, the deployment gates and the audit trail are in the run's report.

Figures

Artifacts

Data source: Synthetic sandbox

Audit SHA-256: cb1b8ca76598b3ebd154e5449da33c9ec701ab9e1da58e30b479b20dc18c949e