Tools and Software
Dashboard
Interactive web tool
NPP Dashboard
Interactive map of current U.S. nuclear plant operating status
The NPP Dashboard brings public nuclear plant information, updated hourly/daily, into a single interactive view of the U.S. operating fleet. Users can review plant-level operating status, age, capacity, past performance, reactor type, and direct links to NRC materials such as inspection reports and license amendments.
Open-Source Tool
AI / regulatory document access
NRC ADAMS MCP Server
Open-source MCP server for NRC regulatory-document workflows
The NRC ADAMS MCP Server provides AI agents and LLM workflows with tools to search the NRC ADAMS repository, download documents by accession number, and extract text from PDFs for downstream analysis. It is intended to make regulatory-document retrieval more accessible for local, agentic, and research-oriented workflows.
Datasets, Teaching Material, and Reference Material
Dataset
Spreadsheet reference resource
US Nuclear Power Reactor Daily Power Reports
Reference spreadsheet for U.S. reactor information and daily power-reporting data
This spreadsheet serves as a practical reference resource for the U.S. commercial reactor fleet, combining basic reactor information with daily power-reporting data in a format that is easy to browse, sort, and reuse. It is useful for quick screening, plant tracking, classroom use, and as a low-time-resolution input for nuclear plant power forecasting.
Workshop Material
Conference teaching resource
2026 ANS Student Conference – AI for Anomaly Detection
Workshop slides and practical exercises on AI for anomaly detection
These workshop slides were developed for the 2026 ANS Student Conference and provide an accessible introduction to AI for anomaly detection, with emphasis on time-series applications, model intuition, and practical workflow considerations. The slides also include links to two hands-on Google Colab exercises for anomaly detection; no software download is required, and the notebooks automatically retrieve the required datasets.
Additional AESL tools, datasets, teaching materials, and technical resources will be added here as they are released.