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UID:11795-1773655200-1773660600@www.rfirst.org
SUMMARY:Technical Talk with RF
DESCRIPTION:ReliabilityFirst (RF) offers a regularly scheduled monthly call to provide entities and stakeholders with a forum for addressing topics and questions relevant to reliability\, resilience and security.    \nWhile RF Subject Matter Experts (SMEs) will provide presentations and updates\, they will not address entity-specific questions and issues. These types of questions can be handled offline by using the RF Assist Visit program. If you have any questions\, please reach out to Mike Hughes\, Entity Engagement Manager\, 216-503-0617.   \nEvent details\nJoin link: https://reliabilityfirst.webex.com/reliabilityfirst/j.php?MTID=mcd2d5f16b3e3c1093bcdab7fea0a5215  \nMeeting number: 2307 554 4654  \nMeeting password: 0123456 (0123456 when dialing from a phone or video system)  \nJoin by phone: 1-650-479-3207 Call-in toll number (US/Canada)  \nAccess code: 230 755 44654  \nPlease join us on Slido.com using #TechTalkRF as the event code.    \nAgenda \nResource adequacy concerns loom in RF region amid surging load growth  \nTim Fryfogle\, Principal Engineer – Resources\, Engineering & System Performance\, RF  \nTim will discuss RF’s 2026 Resource Adequacy Report\, published in February. The report evaluates projected future grid reliability\, load growth\, changes in the generation mix\, and key risks including generation retirements\, policy volatility\, permitting delays\, and supply chain constraints.  \n Implications of artificial intelligence-related data center energy use and emissions  \nBenjamin C. Lee\, Professor of Electrical and Systems Engineering and Computer and Information Science\, University of Pennsylvania  \nDr. Benjamin Lee from the University of Pennsylvania will provide a systems‑level view of how more efficient computing can enable sustainable data centers for artificial intelligence. He examines the growing energy and grid impacts of AI\, evaluates emerging data center technologies\, and discusses how infrastructure design\, workload management\, and energy integration must evolve to support long‑term\, sustainable AI growth.  \nReference materials\nTech Talk with RF – March 2026
URL:https://www.rfirst.org/event/technical-talk-with-march-2026/
LOCATION:Virtual (Webex)
CATEGORIES:Webinars
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