{
  "id": 16925,
  "url": "https://arxiv.org/abs/2608.05018v1",
  "title": "Short-term load forecasting under EU-AI Act Requirements in Safety-Critical Environments: Results from a 41-day live challenge on the aggregated German transmission-grid load",
  "summary": "Short-term load forecasting (STLF) play a vital role in the electric power industry. It serves infrastructure that European and German law designate as critical. Determinism, reproducibility, and auditability are engineering requirements rather than optional extras. STLF is no longer purely an accuracy problem. It is also a software-engineering and compliance problem. This paper describes results from a 41-day live challenge that evaluated a complete STLF pipeline for the aggregated German trans",
  "authors": "Thomas Bartz-Beielstein",
  "category": "research",
  "topics": "regulation,transparency,environment",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-08-05T16:23:31.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16925",
  "original_url": "https://arxiv.org/abs/2608.05018v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}