Better measurement standards could improve energy and water demand forecasting, affecting utility planning, costs, and environmental impacts for communities.
Creates a NIST measurement research program to improve measurement standards for data center energy and water use, explicitly including AI training and inference workloads.
Requires research and testing to improve accuracy, timeliness, and reliability of energy and water measurement for data centers.
Directs development or identification of best practices, definitions, methodologies, and procedures that account for workload types, temporal load profiles, IT and cooling configurations, and local climate/resource factors.
Requires studying gaps in data collection, availability (public and non-public), researcher access, and risks to forecasting, and supporting standardized metrics and data-sharing mechanisms.
Requires stakeholder engagement, coordination with DOE and international standards organizations, congressional briefings, and authorizes $10 million per year for FY2027–2029.
No hearings or votes scheduled.