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UID:212@pcienergysolutions.com
DTSTART;TZID=America/Chicago:20261015T140000
DTEND;TZID=America/Chicago:20261015T150000
DTSTAMP:20260930T163148Z
URL:https://www.pcienergysolutions.com/events/webinar-168-hours-to-9-minut
 es-misos-new-large-load-forecast-requirements/
SUMMARY:Webinar: 168 Hours to 9 Minutes: MISO's New Large Load Forecast Req
 uirements
DESCRIPTION:FERC's June 2026 show cause order (Docket EL26-70) is driving n
 ew forecast obligations for large loads in MISO. Transmission customers se
 rving a large load will owe MISO two submissions: an hourly forecast runni
 ng 168 hours out and refreshed at least hourly\, and a five-minute forecas
 t that must clear MISO's systems nine minutes before the interval it cover
 s — both at the Commercial Pricing Node level\, on a gross basis\, with 
 no netting of co-located generation. Once you are submitting\, MISO stops 
 modeling that load itself and feeds your numbers straight into commitment 
 and dispatch\, with an accuracy incentive framework still being designed. 
 Obligations commence Sept. 1\, 2027\, leaving roughly a year to get ready.
  \n\nHere’s what you’ll learn:  \n\n 	What the requirements are and
  the dates that matter — from FERC's show cause order through MISO's tar
 iff filing and the Sept. 1\, 2027 compliance deadline \n 	Exactly what mu
 st be submitted — hourly forecasts 168 hours out\, five-minute forecasts
  that must clear MISO's systems nine minutes ahead of the interval\, and t
 he validation rules that cause a submission to be rejected \n 	Why foreca
 sts are submitted per Commercial Pricing Node on a gross basis\, and what 
 that means for facilities with co-located or behind-the-meter generation 
 \n 	How MISO removes large load from its own statistical models and substi
 tutes your submission into its mid-term and short-term forecasts\, commitm
 ent and dispatch \n 	Why traditional weather- and calendar-driven load fo
 recasting does not work for a single data center\, and what operational da
 ta you will need from the load customer \n 	How forecast error flows into
  settlement outcomes\, which accuracy metrics MISO has proposed\, and whic
 h parts of the incentive framework remain open to stakeholder input \n 	W
 hat an automated forecast-to-submission process has to do to run reliably 
 around the clock\, and a readiness checklist for the next twelve months 
  \n\nWho will benefit from this webinar:  \n\n 	Load forecasting and op
 erations teams at MISO transmission customers and load serving entities wh
 o will own the new submissions \n 	Large load and data center developers 
 interconnecting in the MISO footprint\, along with the teams who will supp
 ly operational data to their serving utility \n 	Settlements and market a
 nalytics employees who want to understand how forecast error shows up in d
 eviation and make-whole charges \n\nRegistrations are manually reviewed a
 nd approved\, and you will receive confirmation usually within one busines
 s day. Registrants must register using email addresses issued by their emp
 loyers. \n\nRegistration closes at 1:55 p.m. CT Thursday\, Oct. 15 — 5 
 minutes before the start of the webinar. \n\nAbout the presenter:  \n\nD
 warak Varaharajan: Dwaraknaath Varadharajan is PCI’s Sr. Product Mana
 ger\, Optimization &amp\; AI. Dwaraknaath brings over more than five yea
 rs of expertise in the energy industry and software development\, having
  been an integral member of PCI since May 2019. Currently serving as the P
 roduct Manager for the BatteryTrader and Forecaster products\, Dwarakna
 ath leads initiatives to enhance our capabilities and drive strategic dev
 elopment of products. Dwaraknaath’s skillset encompasses proficiency
  in multiple programming languages\, generative AI\, machine learning\, b
 usiness intelligence\, and cloud software development. Dwaraknaath holds
  a master of science in electrical engineering with a specialized focus 
 on power systems and minor focus on statistics from North Carolina State
  University. \n\n&nbsp\;
ATTACH;FMTTYPE=image/jpeg:https://www.pcienergysolutions.com/wp-content/up
 loads/2026/09/10-15-26-Webinar_-68-Hours-to-9-Minutes_-MISOs-New-Large-Loa
 d-Forecast-Requirements.png
CATEGORIES:Webinars
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