FERC Acts on Four Reliability Standards, Probes AI and Data Center Load Forecasting

AI generated summary

The Federal Energy Regulatory Commission (FERC) has recently advanced four key reliability measures aimed at enhancing the U.S. bulk power system's resilience against various threats. These measures include a finalized supply chain risk management rule, which expands protections against vulnerabilities from external threats, and two notices of proposed rulemaking (NOPRs) focused on allowing utilities to utilize cloud computing while maintaining security standards and strengthening cybersecurity requirements for low-impact systems. Additionally, FERC approved enhanced standards for extreme cold weather preparedness, mandating improved generator winterization and clearer communication protocols during cold weather events.

FERC Chairman David Rosner has also initiated inquiries into how grid operators forecast large electric loads from rapidly growing sectors like artificial intelligence and data centers. This scrutiny aims to ensure that existing load forecasting practices can adapt to the increasing demand from high-capacity customers. Rosner's letters to regional transmission organizations emphasize the importance of accurate forecasting, as even minor improvements can significantly impact investments and customer bills. The upcoming Data Center Power Exchange Summit will provide a platform for stakeholders to discuss these challenges and explore solutions for more effective load forecasting and interconnection processes.