Papers
1–3 of 3Research Paper·Mar 15, 2026
A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
Nuclear power plant operators face significant challenges due to unpredictable deviations between offline and online thermal limits, a phenomenon known as thermal limit bias, which leads to conservati...
9.0 viability
Research Paper·Feb 5, 2026·EnergyB2B
Towards Green AI: Decoding the Energy of LLM Inference in Software Development
Context: AI-assisted tools are increasingly integrated into software development workflows, but their reliance on large language models (LLMs) introduces substantial computational and energy costs. Un...
6.0 viability
Research Paper·Mar 3, 2026
Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation
E-fuels are promising long-term energy carriers supporting the net-zero transition. However, the large combinatorial design-operation spaces under renewable uncertainty make the use of mathematical pr...
6.0 viability