A governance‑first AI engineering project focused on energy systems, built with reproducible workflows, clean architecture, and transparent data practices. This repository establishes a disciplined foundation for data pipelines, model development, and responsible AI tooling in the energy domain.
This repository documents my transition from energy systems engineering into applied AI and data engineering, with a focus on governance-first design.
The goal of this project is to build reproducible, auditable, and technically sound AI workflows for energy-sector applications including biomass, power systems, and infrastructure analytics.
This is not a tutorial repo. It is an engineering log.
Most AI projects fail in regulated industries because they:
- Lack data lineage
- Are not reproducible
- Ignore governance until late stages
- Cannot be audited or deployed safely
This repository addresses those failures from Day 1.
Planned components include:
- Structured data pipelines
- Energy-focused datasets
- Exploratory data analysis
- Regression and forecasting models
- Governance artifacts (lineage, assumptions, constraints)
- Documentation-first development
- Python 3.11
- pandas, NumPy
- scikit-learn
- matplotlib, seaborn
- Jupyter (for controlled experimentation)
- Git + virtual environments for reproducibility
energy-ai-governance/ ├── data/ # Raw and processed datasets (not committed) ├── docs/ # Design notes and governance records ├── notebooks/ # Analysis and experiments ├── src/ # Python source code └── README.md
- Reproducibility over speed
- Explicit assumptions
- Versioned dependencies
- Clean commit history
- Governance before optimization
This project is designed to be fully reproducible:
- All dependencies are version-pinned
- A dedicated virtual environment is required
- Data sources and transformations are explicitly documented
- Code and experiments are structured to be rerun end-to-end
No results are accepted unless they can be reproduced from a clean environment.
Day 1 — Project initialization complete.
No models implemented yet.
Effiong Akpan
Energy systems engineer transitioning into AI
Founder, SustainaPower