EVForecasting_VUB

EV Forecasting (VUB)

Digicities workspace for EVForecasting_VUB, part of the REFORMERS knowledge-graph corpus. The platform finds it automatically when this repo's root is mounted as USECASES_DIR.

What this workspace is for

Electric-vehicle charging-demand forecasting.

Replace this README with a description of your specific workpackage: scope, data sources, time horizon.

To change how this workspace appears on the Digicities landing page (name, description, tags, thumbnail), edit workspace_meta/metadata.json and replace workspace_meta/image.png with your own thumbnail. Full convention: ../README.md.

How to populate it

1. Find the template. A blank copy is at ingestion/input/data_ingestion_template.xlsx. Rename it to EVForecasting_VUB.xlsx and fill in your components and attributes. Reference: template README.

2. Convert to TTL. One command. The platform container already mounts this repo:

   docker exec digicities-streamlit \
       python -m backend.replica_builder.cli \
       /app/data/usecases/EVForecasting_VUB/ingestion/input/EVForecasting_VUB.xlsx

   The TTL lands in ingestion/output/ as EVForecasting_VUB.ttl. (You can also do this from the Streamlit UI: Replica Builder → Excel Import.)

3. Commit the .ttl. Optionally also the .xlsx. The TTL is the canonical record of your workpackage's knowledge graph.

That's it. See ../EnergySystemTechnologyDatabase/ for a finished example.