Topics in the text: Reliability and curtailment
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How should entities model and plan for the rapid emergence of large, energy-intensive loads, such as data centers and AI compute campuses Source text
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Given the high load factor of data centers, what are utilities and RTOs/ISOs doing to ensure that resources used to meet capacity requirements have secure fuel sources Source text
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on Wednesday, October 21, 2026, from 10:00 am to 2:40 pm Eastern Daylight Time Source text
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Any discussion on the merits of such proceedings will be curtailed. Source text
Chairman Laura Swett · Related public statement
Swett asked the October reliability panel how to model the scale and operating patterns of large loads. She pointed out that the forecast determines how much generation is procured and therefore influences market prices.
October 21 reliability conference, 00:45:35Commissioner Judy Chang · Related public statement
Chang asked why a data center would voluntarily disconnect once connected if each interrupted megawatt-hour was very costly. She invited utilities and operators to explain what would make a flexibility commitment credible.
October 21 reliability conference, 01:36:23Printed headings where available; page ranges otherwise. Excerpts below are selected from the text by keyword.
opening text · Topic match: Reliability and curtailment
This panel may include a discussion of the following topics and questions: How should entities model and plan for the rapid emergence of large, energy-intensive loads, such as data centers and AI compute campuses, whose scale, timing, and operational characteristics challenge traditional…Read this passage
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Footnotes [fn:1] Hydrological forecasts are predictions of future watercycle conditions such as river flows, reservoir inflows, snowpack levels, soil moisture, and runoff based on climate data, precipitation patterns, temperature trends, and watershed modeling. footer1 (Word template) 2 header1…Read this passage