Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
Artificial intelligence (AI) is increasingly central to power and energy systems, supporting modeling, forecasting, optimization, and control. Yet most existing works emphasize specialized applications and offer little reusable material for newcomers or interdisciplinary learners, who increasingly rely on large language models rather than building their own. This gap points to a need for engineering-grounded AI (EGAI), in which AI workflows follow established engineering and power-system domain
Record details
Published: 3 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Children & education · Environment
Retrieved: 4 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.
Hypergamigication Through Integrating Game Engines and Learning Management Systems: Ender's Game
arXiv cs.CY · 3 August 2026
Hypergamigication Through Integrating Game Engines and Learning Management Systems: Ender's Game
arXiv cs.HC · 31 July 2026
ResidencyRL: Reinforcement Learning in Simulated Clinical Environments
arXiv · 7 August 2026
From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents
arXiv · 30 July 2026
The Bartlett Centre for Advanced Spatial Analysis
UCL Centre for Data Ethics and Innovation · 29 July 2026
Leveling the Playing Field: Temporal Video Segmentation for Individuals with ADHD in Computing Education
arXiv cs.HC · 27 July 2026
How to cite this record
ethics.ai (3 August 2026), “Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework,” evidence record 16083, https://ethics.ai/record/16083 (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.