supplyforge 0.1.0

A Snakemake workflow to generate country-level electricity supply datasets.

⚡️ supplyforge

supplyforge is a Python package that implements a reproducible Snakemake workflow to generate country-level datasets describing the electricity supply side for power system analysis and planning.
It is the companion package to demandforge, which focuses on demand projection.

---

🌍 Overview

The goal of supplyforge is to build a consistent and transparent data foundation describing the generation infrastructure and resources of European electricity systems.

The workflow integrates data obtained primarily from ENTSO-E (the European Network of Transmission System Operators for Electricity), including:

• 🏭 Installed capacity by technology (nuclear, gas, hydro, wind, solar, etc.)
• ⚙️ Availability profiles by technology and country
• 💧 Hydro inflows and reservoir information
• 🌦️ Renewable resource time series (when available)
• 📊 Aggregated country-level summaries ready for power system modeling tools

---

🧩 Features

• Automated data retrieval from ENTSO-E public APIs and datasets
• Harmonized technology classification across countries
• Computation of availability and inflow time series for each technology
• Generation of validated, ready-to-use datasets for scenario analysis and planning models
• Full traceability and reproducibility via Snakemake

---

🔗 Relation to demandforge

Package	Focus	Description
demandforge	Demand	Creates projected electricity load curves for future scenarios
supplyforge	Supply	Builds datasets describing generation capacity, availability, and inflows

Together, these tools provide a complete data pipeline for future electricity system modeling at the national scale.

---

⚙️ Workflow

supplyforge uses a modular Snakemake workflow with well-defined stages:

1. Download — fetch data from ENTSO-E and other sources
2. Preprocess — clean and align generation technology data
3. Compute — derive availability, inflow, and capacity time series
4. Aggregate — generate standardized outputs for modeling tools

Each rule is designed for transparency, reproducibility, and easy extension to new datasets.

---

🧱 Outputs

Typical outputs include:

Output file	Description
installed_capacity.csv	Installed capacity by country and technology
availability_profiles.parquet	Hourly availability by technology
hydro_inflows.parquet	Hourly inflow series for hydro reservoirs
metadata.yaml	Documentation of data sources and processing steps

---

📦 Installation

pip install supplyforge

or from source:

git clone https://git.persee.minesparis.psl.eu/energy-alternatives/supplyforge.git
cd supplyforge
pip install -e .

---

🚀 Usage

You can run the Snakemake workflow with:

snakemake --cores all

This will download raw data, process it, and generate the final datasets under the output/ directory.

---

📚 Data Sources

• ENTSO-E Transparency Platform — generation, availability, and inflows
• ENTSO-E Statistical Factsheets — installed capacities
• Optional integration with renewable resource datasets for solar/wind availability

All datasets are open or publicly accessible, and sources are documented in the workflow metadata.

---

🧑‍💻 Contributing

Contributions are welcome!
You can:

• Add support for additional data sources or countries
• Improve technology mappings or validation checks
• Extend workflow outputs for specific modeling frameworks

---

📄 License

Licensed under the MIT License.

---

✉️ Contact

For questions, suggestions, or collaboration opportunities, please contact:
[Your Name] – [your.email@domain]
or open an issue on the Gitlab repository.