,i  #aaith ,,congress  #b;d ,session    
,h4 ,r4 #icgb  ,,in ,,the ,,house ,,of  
,,representatives  ,june #ah1 #bjbf,mr4 
,subramanyam 7for himself1 ,mr4         
,obernolte1 and ,mrs4 ,foushee7         
introduced the following bill2 which was
 referred to the ,committee on ,science1
 ,space1 and ,technology  ,a ,,bill  ,to
 direct the ,director of the ,national  
,institute of ,standards and ,technology
 to develop best practices for measuring
 data center energy use1 study data     
availability for the purpose of         
improving energy demand forecasting     
capabilities1 and for other purposes4   
#a4 ,short title ,this ,act may be cited
 as the ,data ,infrastructure ,energy   
,measurement and ,standards ,act4  #b4  
,activities to support metrology of data
 center energy use  7a7 ,best practices 
for measuring data center energy use    
,the ,director of the ,national         
,institute of ,standards and            
,technology1 in consultation with the   
,secretary of ,energy1 shall carry out a

 measurement research program 7in this  
section referred to as the program7 to  
inform the development or improvement of
 best practices1 definitions1           
methodologies1 procedures1 and technical
 standards for the measurement of energy
 and water use by data centers and the  
workloads of such centers1 including the
 measurement of energy and water use    
resulting from training and inference of
 artificial intelligence models or other
 compute intensive information          
processes4  7b7 ,activities ,in carrying
 out the program1 the ,director shall   
carry out the following3 7#a7 ,conduct  
research and testing to improve the     
accuracy1 efficacy1 timeliness1 and     
reliability of the measurement of energy
 and water use by data centers and the  
workloads of such centers4  7#b7        
,develop or identify best practices1    
guidelines1 definitions1 methodologies1 
and procedures for measuring and        
reporting energy and water use by data  
centers and the workloads of such       

centers1 taking into consideration the  
following3 7,a7 ,the type of workload   
and aggregate energy and water use by a 
given data center1 including complex    
artificial intelligence workloads4  7,b7
 ,temporal power consumption load       
profiles associated with data center    
energy use accounting for               
behind-the-meter generation1            
front-of-meter generation1 and energy   
generation not provided to the electric 
grid on a facility-level basis4  7,c7   
,varying information technology system1 
power chain1 and cooling configurations1
 including consideration of servers1    
storage1 network1 power transformation1 
distribution1 and uninterruptible supply
 technologies4  7,d7 ,temporal          
variations in electricity loads due to  
variations in workloads1 technology     
configurations1 and data center         
locations1 including local climate and  
resource factors4  7#c7 ,study data     
needs for relevant research and energy  
and water demand forecasting1 and       

relevant driving factors relating to    
such needs1 including an identification 
of the following3  7,a7 ,existing gaps  
in the following3 7i7 ,data collection4 
7ii7 ,data availability from public and 
non-public sources4  7iii7 ,researcher  
access4  7,b7 ,risks related to the gaps
 identified in clauses 7i7 through 7iii7
 of subparagraph 7,a71 including the    
reliability of energy and water demand  
forecasts from different stakeholder    
perspectives4  7#d7 ,support the        
development of standardized metrics and 
data sharing mechanisms that would help 
provide information to researchers and  
relevant stakeholders regarding data    
center energy and water use in such a   
way that promotes improved energy and   
water demand forecasting capabilities4  
7#e7 ,coordinate with the ,secretary of 
,energy to carry out the following3 7,a7
 ,ensure applicable metrics and data are
 managed1 stewarded1 and archived       
appropriately1 and in accordance with   
the best practices described in         

paragraph 7#b74  7,b7 ,promote full and 
open exchange of such metrics and data  
at ,federal and ,state levels1 and with 
academia1 industry1 and other users1 as 
practicable and appropriate4  7#f7      
,coordinate with international partners1
 including international standards      
organizations1 to maintain global data  
center energy measurement standards4    
7c7 ,stakeholder engagement ,in carrying
 out subsection 7b71 the ,director shall
 seek to engage with and convene        
representatives of industry1 academia1  
nonprofit organizations1 standards      
development organizations1 civil society
 groups1 and appropriate ,federal       
departments and agencies4  7d7          
,briefings ,not later than one year     
after the date of the enactment of this 
,act1 and again not later than two years
 after such date1 the ,director shall   
brief the ,committee on ,science1       
,space1 and ,technology of the ,house of
 ,representatives and the ,committee on 
,commerce1 ,science1 and ,transportation

 and the ,committee on ,energy and      
,natural ,resources of the ,senate on   
the program4  7e7 ,authorization of     
appropriations ,there are authorized to 
be appropriated to the ,director to     
carry out this section #aj1jjj1jjj for  
each of fiscal years #bjbg through      
#bjbi4  7f7 ,definitions ,in this       
section3  7#a7 ,artificial intelligence 
,the term artificial intelligence has   
the meaning given such term in section  
#ejjb of the ,national ,artificial      
,intelligence ,initiative ,act of #bjbj 
7#ae ,u4,s4,c4 #idja74  7#b7 ,artificial
 intelligence model ,the term artificial
 intelligence model means a software    
component of an information system that 
implements artificial intelligence      
technology and uses computational1      
statistical1 or machine-learning        
techniques to produce outputs from a    
defined set of inputs4  7#c7            
,behind-the-meter generation ,the term  
behind-the-meter generation means the   
generation or storage of energy1        

including electricity and fuels consumed
 in backup and onsite generation1 using 
a system that operates on the customer  
side of the applicable utility meter4   
7#d7 ,data center ,the term data center 
means any facility that primarily       
contains electronic equipment used to   
process1 store1 or transmit digital     
information4  7#e7  ,director  ,the term
 ,director means the ,director of the   
,national ,institute of ,standards and  
,technology4  7#f7  ,front-of-meter     
generation  ,the term front-of-meter    
generation means the generation of      
energy at a facility directly connected 
to a grid with the primary purpose of   
providing electricity to one or more    
offsite locations via such grid or      
utility meters with which such facility 
does not have an electrical connection4 
7#g7  ,information system  ,the term    
information system has the meaning given
 such term in section #cejb of title    
#dd1 ,united ,states ,code4