15196 Federal Register / Vol. 89, No. 42 / Friday, March 1, 2024 / Notices 

maintain a list of firms qualified to 

perform energy efficiency and 

renewable energy projects specifically 

using the energy savings performance 

contracts (ESPCs) project financing 

methodology. The forms subject to this 

Paperwork Reduction Act submission 

constitute the application and 

recertification statement for inclusion 

on the DOE Qualified List of Energy 

Service Companies (ESCOs). The ESCOs 

on the DOE Qualified List constitute the 

group of firms that are eligible for 

contract award under 10 CFR 436.32. 

ESCOs that would like to bid on ESPC 

contracts for the Federal government 

must apply to the DOE Qualified List of 

ESCOs and complete the annual 

recertification statement; 

(5) Annual Estimated Number of

Respondents: 128; 

(6) Annual Estimated Number of

Total Responses: 128; 

(7) Annual Estimated Number of

Burden Hours: 466; 

(8) Annual Estimated Reporting and

Recordkeeping Cost Burden: $57,318. 

Statutory Authority: The ESPC statute 

(42 U.S.C. 8287(b)(2)(A)–(B)) requires 

the Secretary of Energy to establish and 

maintain a list of firms qualified to 

perform energy efficiency and 

renewable energy projects specifically 

using the energy savings performance 

contracts (ESPCs) project financing 

methodology. 

Signing Authority 

This document of the Department of 

Energy was signed on February 23, 

2024, by Mary Sotos, Director, Federal 

Energy Management Program, pursuant 

to delegated authority from the 

Secretary of Energy. That document 

with the original signature and date is 

maintained by DOE. For administrative 

purposes only, and in compliance with 

requirements of the Office of the Federal 

Register, the undersigned DOE Federal 

Register Liaison Officer has been 

authorized to sign and submit the 

document in electronic format for 

publication, as an official document of 

the Department of Energy. This 

administrative process in no way alters 

the legal effect of this document upon 

publication in the Federal Register. 

Signed in Washington, DC, on February 27, 

2024. 

Treena V. Garrett, 

Federal Register Liaison Officer, U.S. 

Department of Energy. 

[FR Doc. 2024–04374 Filed 2–29–24; 8:45 am] 

BILLING CODE 6450–01–P 

DEPARTMENT OF ENERGY 

Agency Information Collection 

Extension 

AGENCY: Department of Energy. 

ACTION: Notice of request for comments. 

SUMMARY: The Department of Energy 

(DOE), pursuant to the Paperwork 

Reduction Act of 1995, intends to 

extend for three years, an information 

collection request with the Office of 

Management and Budget (OMB). 

DATES: Comments regarding this 

proposed information collection must 

be received on or before April 30, 2024. 

If you anticipate any difficulty in 

submitting comments within that 

period, contact the person listed in the 

FOR FURTHER INFORMATION CONTACT

section as soon as possible. 

ADDRESSES: Written comments may be 

sent to Ken Hunt, Chief Privacy Officer, 

U.S. Department of Energy, 19901 

Germantown Road, Rm. G–302, 

Germantown, MD 20874, or by fax at 

(301) 903–7738, or by email at

privacyactoffice@hq.doe.gov.

FOR FURTHER INFORMATION CONTACT: Ken

Hunt, Chief Privacy Officer, U.S.

Department of Energy, 19901

Germantown Road, Germantown, MD

20874 or by telephone at (301) 903–

3880, or by fax at (301) 903–7738, or by

email at privacyactoffice@hq.doe.gov,

https://www.energy.gov/cio/office-chiefinformation-officer/services/guidance/

privacy-program/submitting-privacy-act.

SUPPLEMENTARY INFORMATION: Comments

are invited on: (a) Whether the extended

collection of information is necessary

for the proper performance of the

functions of the agency, including

whether the information shall have

practical utility; (b) the accuracy of the

agency’s estimate of the burden of the

proposed collection of information,

including the validity of the

methodology and assumptions used; (c)

ways to enhance the quality, utility, and

clarity of the information to be

collected; and (d) ways to minimize the

burden of the collection of information

on respondents, including through the

use of automated collection techniques

or other forms of information

technology.

This information collection request 

contains: 

(1) OMB No.: 1910–1700;

(2) Information Collection Request

Titled: Privacy Act Administration; 

(3) Type of Review: Extension;

(4) Purpose: The Privacy Act

Information Request form aids the 

Department of Energy’s processing of 

Privacy Act requests submitted by an 

individual or an authorized 

representative, wherein he or she is 

requesting records the government may 

maintain on the individual. The 

Department’s use of this form continues 

to contribute to the implementation of 

the Department’s Privacy Act processes, 

including, but not limited to, providing 

for faster processing of Privacy Act 

information requests by asking 

individuals or their authorized 

representative for pertinent information 

needed for records retrieval; 

(5) Annual Estimated Number of

Respondents: 390; 

(6) Annual Estimated Number of

Total Responses: 390; 

(7) Annual Estimated Number of

Burden Hours: 130; 

(8) Annual Estimated Reporting and

Recordkeeping Cost Burden: $14,078. 

Statutory Authority: The Privacy Act 

of 1974, 5 U.S.C. 552a; Department of 

Energy, Records Maintained on 

Individuals (Privacy Act), 10 CFR 1008; 

42 U.S.C. 7101 et. seq.; 50 U.S.C. 2401 

et. seq. 

Signing Authority 

This document of the U.S. 

Department of Energy was signed on 

February 20, 2024, by Ann Dunkin, 

Chief Information Officer, pursuant to 

delegated authority from the Secretary 

of Energy. That document with the 

original signature and date is 

maintained by DOE. For administrative 

purposes only, and in compliance with 

requirements of the Office of the Federal 

Register, the undersigned DOE Federal 

Register Liaison Officer has been 

authorized to sign and submit the 

document in electronic format for 

publication, as an official document of 

the Department of Energy. This 

administrative process in no way alters 

the legal effect of this document upon 

publication in the Federal Register. 

Signed in Washington, DC, on February 27, 

2024. 

Treena V. Garrett, 

Federal Register Liaison Officer, U.S. 

Department of Energy. 

[FR Doc. 2024–04373 Filed 2–29–24; 8:45 am] 

BILLING CODE 6450–01–P 

DEPARTMENT OF ENERGY 

[Docket Number: DOE–HQ–2024–0007] 

Notice of Request for Information (RFI) 

Related to DOE’s Responsibilities on 

Safe, Secure, and Trustworthy 

Development and Use of Artificial 

Intelligence 

AGENCY: Office of Critical and Emerging 

Technologies, Department of Energy. 


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Federal Register / Vol. 89, No. 42 / Friday, March 1, 2024 / Notices 15197 

ACTION: Request for information. 

SUMMARY: The Department of Energy 

(DOE) is seeking information to assist in 

carrying out certain responsibilities 

under an Executive order (E.O.) titled 

‘‘Safe, Secure, and Trustworthy 

Development and Use of Artificial 

Intelligence’’ issued on October 30, 

2023. Among other things, the E.O. 

directs DOE to issue a public report 

within 180 days of the E.O. ‘‘describing 

the potential for Artificial Intelligence 

(AI) to improve planning, permitting, 

investment, and operations for electric 

grid infrastructure and to enable the 

provision of clean, affordable, reliable, 

resilient, and secure electric power to 

all Americans.’’ DOE is soliciting 

information on one or more of the topics 

outlined in this RFI to address in the 

public report. The information provided 

in response to this RFI will inform the 

preparation of that report. 

DATES: Comments containing 

information in response to this notice 

must be received on or before April 1, 

2024. Submissions received after that 

date may not be considered. 

ADDRESSES: Comments may be 

submitted by any of the following 

methods: 

Electronic submission: Submit 

electronic public comments via 

www.regulations.gov. 

1. Go to www.regulations.gov and 

enter DOE–HQ–2024–0007 in the search 

field, 

2. Click the ‘‘Comment’’ icon and 

complete the required fields. 

Electronic submissions may also be 

sent as an attachment via email to 

AIexecutiveorder.RFI@hq.doe.gov in any 

of the following unlocked formats: 

HTML; ASCII; Word; RTF; Unicode, or 

PDF. 

Written comments may also be 

submitted by mail to: Department of 

Energy, Office of Policy, 1000 

Independence Avenue SW, Washington, 

DC 20585. Due to potential delays in 

DOE’s receipt and processing of mail 

sent through the U.S. Postal Service, 

DOE encourages responders to submit 

comments electronically in order to 

ensure timely receipt. 

Submissions must not exceed 25 

pages (when printed) in 12-point or 

larger font, with a page number 

provided on each page. Please include 

your name, organization’s name (if any), 

and cite ‘‘DOE AI Executive Order’’ in 

all correspondence. 

Comments containing references, 

studies, research, and other empirical 

data that are not widely published 

should include copies of the referenced 

materials. All comments and 

submissions, including attachments and 

other supporting materials, will become 

part of the public record and subject to 

public disclosure. Comments will be 

available on www.regulations.gov. 

FOR FURTHER INFORMATION CONTACT: For 

questions about this RFI contact: 

AIexecutiveorder.RFI@hq.doe.gov or 

Keith Benes, Department of Energy, 

Office of Policy, 1000 Independence 

Avenue SW, Washington, DC 20585, 

240–278–5478. Direct media inquiries to 

DOE’s Office of Public Affairs at 202– 

586–4940. 

SUPPLEMENTARY INFORMATION: DOE is 

seeking information to assist in carrying 

out certain of its responsibilities under 

section 5.2(g) of E.O. 14110 issued on 

October 30, 2023 (88 FR 75191). This 

RFI addresses the specific 

responsibilities cited below. Other 

topics in E.O. 14110 are being addressed 

separately by DOE and other agencies. 

In considering information for 

submission to DOE, respondents are 

encouraged to review information on 

DOE’s website for the Office of Critical 

and Emerging Technologies 

(www.energy.gov/cet/office-critical-andemerging-technology). Respondents are 

also encouraged to review DOE’s AI 

Risk Management Playbook (https://

www.energy.gov/ai/doe-ai-riskmanagement-playbook-airmp) and the 

Advanced Research Directions on AI for 

Science, Energy, and Security report 

prepared by a consortium of DOE 

National Laboratories (www.anl.gov/ 

sites/www/files/2023-05/AI4SESReport2023.pdf). 

Information that is specific and 

actionable is of more interest than 

general statements. Copyright 

protections of materials, if any, should 

be clearly noted. Responses that include 

information generated by means of AI 

techniques should be identified clearly. 

E.O. 14110 section 5.2(g) directs DOE 

to undertake several actions ‘‘to support 

the goal of strengthening our Nation’s 

resilience against climate change 

impacts and building an equitable clean 

energy economy for the future.’’ Among 

those actions, section 5.2(g)(i) directs 

DOE to issue a public report within 180 

days of E.O. 14110 release describing 

‘‘the potential for AI to improve 

planning, permitting, investment, and 

operations for electric grid 

infrastructure and to enable the 

provision of clean, affordable, reliable, 

resilient, and secure electric power to 

all Americans.’’ 

E.O. 14110 directs DOE to undertake 

the actions specified in section 5.2(g), 

including preparing this report, ‘‘in 

consultation with the Chair of the 

Federal Energy Regulatory Commission, 

the Director of OSTP, the Chair of the 

Council on Environmental Quality, the 

Assistant to the President and National 

Climate Advisor, and the heads of other 

relevant agencies as the Secretary of 

Energy may deem appropriate.’’ 

In this RFI, DOE is soliciting input for 

the public report called for in section 

5.2(g)(i). DOE is seeking information 

regarding topics related to this 

assignment, including: 

1. AI to improve the security and 

reliability of grid infrastructure and 

operations and their resilience to 

disruptions. 

DOE is seeking information on how 

AI can be developed and used by 

private actors, public-private 

partnerships, and government entities 

(at all levels of government, including 

Federal, State, local, etc.) to improve the 

security and reliability of grid 

infrastructure and operations, as well as 

resilience of the grid to potential 

disruptions. DOE is specifically 

requesting comments on the use of AI 

with regard to the following topics: 

• Grid Operations and reliability; 

• Improvements in predictive 

maintenance for utilities; 

• For rapid, accurate, and costeffective load and supply balancing in 

light of increasing penetration of 

variable generation sources and 

increased opportunities for demand 

management through technologies such 

as electric vehicle charging/discharging, 

smart devices, or optimizing clean 

hydrogen production; 

• To improve flexibility of power 

systems models or other interconnection 

software tools to facilitate more efficient 

processing of growing interconnection 

queues and handling distribution-side 

generation (such as rooftop solar) and 

increased demand from demand-side 

interconnection as, for example, 

transportation electrifies. 

• Grid Resilience: 

• Characterization of impacts of 

climate hazards on electricity system 

infrastructure, connected to Climate 

Mapping for Resilience and Adaptation 

(CMRA) outputs; 

• Opportunity for AI-enabled realtime self-healing infrastructure; 

• Opportunity for AI-enabled 

detection and diagnosis of anomalous/ 

malicious events; 

• AI-enabled situational awareness 

and actions for resilience during and 

after a disruption. 

2. AI to improve planning, permitting, 

and investment in the grid and related 

clean energy infrastructure. 

DOE is seeking information on how 

AI can be used both by government 

entities at all levels of government 

(Federal, State, local, etc.) as well as by 

private actors to improve the planning, 


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15198 Federal Register / Vol. 89, No. 42 / Friday, March 1, 2024 / Notices 

siting, permitting, and investment in the 

grid and related clean energy 

infrastructure. The following is a nonexhaustive list of topics that may be 

addressed in comments on this topic: 

• Opportunities for siting and 

permitting authorities to utilize AI (e.g., 

Large Language Models, multi-modal 

generative, etc.) to improve and 

expedite their reviews; 

• Actions Federal agencies can take to 

support the effective deployment of 

generative AI tools to improve project 

planning, community engagement, and 

siting and permitting reviews (e.g., 

processing of existing government 

documents into AI- and ML-compatible 

data formats, clarification of standards 

around use of generative AI in 

preparation of submittals to government 

agencies, etc.); 

• Steps Federal agencies could take to 

improve compatibility of existing 

structured datasets (e.g., geospatial data 

on environmental resources, endangered 

species, environmental justice, historic 

and cultural resources, etc.) with 

emerging AI models and/or to utilize AI 

to revise and improve those existing 

datasets; 

• Opportunities to use AI to validate 

and improve monitoring of existing 

projects (e.g., environmental mitigation 

monitoring, supply chain risks, and 

socio-economic impacts, etc.); 

• Opportunities to use AI to 

illuminate and address artificial, 

arbitrary, and unnecessary 

disproportionate impacts on 

disadvantaged communities from 

planning, permitting, or operation of 

energy infrastructure and to improve 

energy equity; 

• Steps that should be taken to ensure 

transparency about any use of 

generative AI in government reviews 

and decision-making processes to avoid 

unlawful biases or discrimination in AI 

algorithms and datasets used. 

3. AI to help mitigate climate change 

risks. 

DOE is seeking information regarding 

how AI can be used to strengthen the 

Nation’s resilience against climate 

change, including opportunities to help 

predict, prepare for, and mitigate 

climate-driven risk. The following is a 

non-exhaustive list of topics that may be 

addressed in comments on this topic: 

• Opportunities to use AI to forecast 

climate-driven extreme events (e.g., 

wildfires, flooding, hurricanes, etc.) and 

their impact on reliability and resilience 

requirements, as well as potential to use 

AI to mitigate climate-driven extreme 

event risks or otherwise bolster 

reliability and resilience; 

• Opportunities to use AI to 

understand and forecast climate impacts 

on long-term future resource levels 

(compared to historical levels) and its 

effect on resource adequacy and 

availability; 

• Opportunities to use AI to improve 

or accelerate numerical weather 

prediction models, particularly on time 

scales relevant to infrastructure 

planning and operations. 

Across all of these topics, DOE is 

seeking information about costs and 

ease of implementation for tools, 

systems, practices, and the extent to 

which they will benefit the public if 

they can be efficiently adopted and 

utilized. DOE is interested to learn 

about how to handle liability for 

consequences of decisions made by AI 

algorithms as well as protocols to 

quantify the benefits of AI. In addition, 

DOE is interested in information about 

potential negative effects of broader use 

of AI on these systems, including 

concerns about data security and 

privacy, whether AI may cause unlawful 

biases or discrimination, and the 

possibility that AI could have artificial, 

arbitrary and unnecessary disparate 

impacts on communities, particularly 

underserved communities. Pursuant to 

Executive Order 13985 ‘‘underserved 

communities’’ refers to populations 

sharing a particular characteristic, as 

well as geographic communities, that 

have been systematically denied a full 

opportunity to participate in aspects of 

economic, social, and civic life, as 

exemplified by the list in the preceding 

definition of ‘‘equity.’’ 

Confidential Business Information: 

Pursuant to 10 CFR 1004.11, any person 

submitting information that he or she 

believes to be confidential and exempt 

by law from public disclosure should 

submit via email two well-marked 

copies: one copy of the document 

marked ‘‘confidential’’ including all the 

information believed to be confidential, 

and one copy of the document marked 

‘‘non-confidential’’ with the information 

believed to be confidential deleted. 

Submit these documents via email. DOE 

will make its own determination about 

the confidential status of the 

information and treat it according to its 

determination. 

Signing Authority 

This document of the Department of 

Energy was signed on February 21, 

2024, by Helena Fu, Director, Office of 

Critical and Emerging Technologies, 

pursuant to delegated authority from the 

Secretary of Energy. That document 

with the original signature and date is 

maintained by DOE. For administrative 

purposes only, and in compliance with 

requirements of the Office of the Federal 

Register, the undersigned DOE Federal 

Register Liaison Officer has been 

authorized to sign and submit the 

document in electronic format for 

publication, as an official document of 

the Department of Energy. This 

administrative process in no way alters 

the legal effect of this document upon 

publication in the Federal Register. 

Signed in Washington, DC, on February 27, 

2024. 

Treena V. Garrett, 

Federal Register Liaison Officer, U.S. 

Department of Energy. 

[FR Doc. 2024–04367 Filed 2–29–24; 8:45 am] 

BILLING CODE 6450–01–P 

DEPARTMENT OF ENERGY 

National Nuclear Security 

Administration 

Advisory Committee for Nuclear 

Security 

AGENCY: Office of Defense Programs, 

National Nuclear Security 

Administration, Department of Energy. 

ACTION: Notice of closed meeting. 

SUMMARY: This notice announces a 

closed meeting of the Advisory 

Committee for Nuclear Security (ACNS). 

The Federal Advisory Committee Act 

requires that public notice of meetings 

be announced in the Federal Register. 

Due to national security considerations, 

the meeting will be closed to the public 

and matters to be discussed are exempt 

from public disclosure. 

DATES: March 26, 2024; 9 a.m. to 5 p.m. 

ADDRESSES: In-person meeting. 

FOR FURTHER INFORMATION CONTACT: 

Allyson Koncke-Fernandez, Office of 

Policy and Strategic Planning (NA–1.1) 

National Nuclear Security 

Administration, U.S. Department of 

Energy, 1000 Independence Avenue 

SW, Washington, DC 20585, (202) 287– 

5327, allyson.koncke-fernandez@

nnsa.doe.gov. 

SUPPLEMENTARY INFORMATION: 

Background: The ACNS provides 

advice and recommendations to the 

Under Secretary Nuclear Security & 

Administrator, NNSA areas and those of 

the National Nuclear Security 

Administration. 

Purpose of the Meeting: The Quarterly 

meeting of the Advisory Committee for 

Nuclear Security (ACNS) will cover the 

current status of Committee activities as 

well as additional charges and is 

expected to contain discussions of a 

sensitive nature. 

Type of Meeting: In the interest of 

national security, the meeting will be 

closed to the public under Executive 


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