arXiv AI August 11, 2026 By Thomas Bartz-Beielstein, Eva Bartz

Time-Series Forecasting in Safety-Critical Environments: An Open-Source Package for EU-AI-Act-Compliant Development / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein Open-Source-Paket f\"ur die KI-VO-konforme Entwicklung

arXiv:2604. 23859v2 Announce Type: replace Abstract: With spotforecast2-safe we present an integrated Compliance-by-Design approach to Python-based point forecasting of time series in safety-critical environments.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

safety

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benchmarks safety

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llms reinforcement-learning safety

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llms

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llms agents nlp safety

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Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction

arXiv:2510. 15780v2 Announce Type: replace-cross Abstract: Artificial intelligence (AI) is increasingly used to support renewable energy forecasting and grid operations.

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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

From Silos to Systems: Process-Oriented Hazard Analysis for AI Systems

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