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Mapping the local heat transition

Talkat PyData London 2026 · on Saturday, 2026-06-06· at 11:05· Hardwick Hub· [data-visualization]
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A reproducible pipeline maps the most suitable low‑carbon heating per property and agglomerates them into neighbourhood Local Heat Planning Tool opportunity clusters; it uses OS Open UPRN, OS OpenMap Local, EPC and a Plymouth council tax pilot for validation, trains a blocks‑of‑flats classifier (random forest), estimates garden area from land parcels, applies Voronoi clustering with physical barriers, and serves results via a web UI (Google Maps API, Vue, Rails) backed on AWS. Alpha testing with four local authorities is live and scaling to GB is underway, but models need retraining and production hardening.

AI-written summary · about

  1. 0:00Local heat transition project
  2. 1:06Nesta's carbon mission
  3. 4:11Reducing household carbon
  4. 5:39Clean heat neighborhoods
  5. 8:29Identifying properties from data
  6. 10:56Assigning low-carbon heat tech
  7. 13:06Blocks of flats classifier
  8. 15:12Estimating outdoor space
  9. 17:19Aggregating property solutions
  10. 19:30Clustering buildings
  11. 21:58Refining clusters with barriers
  12. 23:03Mapping tool tech stack
  13. 24:35Local heat planning tool
  14. 28:31Future tool scaling
  15. 31:19Team and acknowledgments
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