Digicities workspace for PriceForecasting_CERTH, part of the REFORMERS knowledge-graph corpus. The platform finds it automatically when this repo's root is mounted as
USECASES_DIR.
Wholesale electricity-price forecasting models.
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.
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Find the template. A blank copy is at
ingestion/input/data_ingestion_template.xlsx. Rename it toPriceForecasting_CERTH.xlsxand fill in your components and attributes. Reference: template README. -
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/PriceForecasting_CERTH/ingestion/input/PriceForecasting_CERTH.xlsxThe TTL lands in
ingestion/output/asPriceForecasting_CERTH.ttl. (You can also do this from the Streamlit UI: Replica Builder → Excel Import.) -
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.