DOE · DOE-494 · record R3356

Energy Wizard

Department of Energy · NREL - National Renewable Energy Laboratory (EE)

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: The tool is currently only available internally and serves as a research tool that enables the discovery and evaluation of NREL published research.
Start date: 2024-08-01 (day precision)Source: 2024-08-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Energy and the Environment
Operational functions: Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The tool aims to explore and extract meaningful insights from NREL's vast database of publications including but not limited to technical reports, presentations, and conference papers. There are over 56,000 publications in the NREL research hub and t

Expected benefits

Making NREL data more accessible for researchers and accelerating research.

System outputs

The systems leverages Retrieval-Augmented Generation to find semantically relevent content which the AI (LLM) summarizes for the end user as a method to describe relevent content within the selected publications and research profiles.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): NREL Stratus AWS Compute Environment, NREL Azure System, and NREL Google Cloud Platform
Custom-developed code: Yes
Public source code: github.com ↗

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
Vendor (as reported): AWS, Azure, OpenAI
Vendors (standardized): MicrosoftOpenAIAmazon Web Services

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: As this is summarizing data from the OEDI data repository the related datasets are described by the catalog which is also used to validate the AI responses: https://data.openei.org/
Federal Data Catalog: data.openei.org ↗

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported