GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict physical consistency must be enforced. We present GENCO (GEometric Neural Corrective Optimizer), a unified neural solver for steady-state transmission grid analysis that handles power flow (PF), optimal power flow (OPF), and state estimation (SE) within a single architecture and shared network representation. To suppo
Record details
Published: 10 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Jobs & economy
Retrieved: 11 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review
JMIR (Journal of Medical Internet Research) · 10 August 2026
STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework
arXiv · 10 August 2026
When the Interviewer Is a Bot: Behavior, Breakdowns, and Trust in MLLM-Led Interviews
arXiv cs.HC · 11 August 2026
ChronoState: Hidden Elapsed-Time Conditioning for Temporal-State Action Selection in Frozen-Backbone Language Models
arXiv · 10 August 2026
SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training
arXiv cs.LG · 11 August 2026
Cheap, Fallible Cognition and the Political Economy of Expertise
arXiv · 11 August 2026
How to cite this record
ethics.ai (10 August 2026), “GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis,” evidence record 18244, https://ethics.ai/record/18244 (originally published by arXiv cs.AI).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.