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Thinking

Forschung, Perspektiven und Neuigkeiten zu KI für Energienetze.
Post-fault transient stability assessment is formulated as binary classification over PMU observations. (a): two input representations — a fault-clearing snapshot (|V|, φ; 18/78 features) and physics-informed trajectory features (δ, ω, V; 165 features) — feed 17 ML classifiers.
Artikel · Maschinelles Lernen

Machine Learning for Online Transient Stability Assessment

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Oktober 2026
Decoupling reasoning and facts in language models
Artikel · KI-Modelle

Decoupling reasoning and facts in language models

On decoupling reasoning and facts in language models

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Januar 2026
The Limits of prompt optimization in high-alignment model pairs
Artikel · KI-Modelle

The Limits of prompt optimization in high-alignment model pairs

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Dezember 2025
Utilization rate forecasting for EV charging infrastructure
Artikel · Maschinelles Lernen

Utilization rate forecasting for EV charging infrastructure

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Dezember 2025
Real-Time Human Activity Recognition Using the H2O AutoML Framework and Imbalance Handling
Paper · Maschinelles Lernen

Real-Time Human Activity Recognition Using the H2O AutoML Framework and Imbalance Handling

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November 2025
The few-shot distraction effect
Artikel · KI-Modelle

The few-shot distraction effect

The Few-shot distraction effect —> when more examples degrade LLM constraint adherence

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November 2025
Small vs Big - NanoChat vs GPT-OSS 20B
Artikel · KI-Modelle

Small vs Big - NanoChat vs GPT-OSS 20B

nanochat implements a dense transformer decoder with several architectural refinements that have become mainstream since the original GPT-2 paper.

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November 2025
Agents are classes that compose like lego blocks
Artikel · KI-Modelle

Agents are classes that compose like lego blocks

DSPy takes a fundamentally different approach: agents are Python classes that compose like LEGO blocks.

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November 2025
The Impact of Electric Vehicles on Low Voltage Grids: A Case Study of Berlin
Paper · Energiesysteme

The Impact of Electric Vehicles on Low Voltage Grids: A Case Study of Berlin

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Oktober 2025
A Framework for Integrating Intelligent Mobile Energy Storage into Energy Distribution Systems
Paper · Maschinelles Lernen

A Framework for Integrating Intelligent Mobile Energy Storage into Energy Distribution Systems

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Oktober 2025
Auction-based Peer-to-peer Energy Transaction Model with Prosumer-side Energy Scheduling
Paper · Maschinelles Lernen

Auction-based Peer-to-peer Energy Transaction Model with Prosumer-side Energy Scheduling

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Oktober 2025
A Power Demand Estimator for Electric Vehicle Charging Infrastructure
Paper · Tools

A Power Demand Estimator for Electric Vehicle Charging Infrastructure

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Oktober 2025
Optimal energy supply scheduling for a single household: Integrating machine learning for power forecasting
Paper · Maschinelles Lernen

Optimal energy supply scheduling for a single household: Integrating machine learning for power forecasting

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Oktober 2025
Probabilistic Risk Assessment in Power Systems With High Wind Energy Penetration
Paper · Maschinelles Lernen

Probabilistic Risk Assessment in Power Systems With High Wind Energy Penetration

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Oktober 2025
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