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UID:204@pcienergysolutions.com
DTSTART;TZID=America/Chicago:20260625T130000
DTEND;TZID=America/Chicago:20260625T140000
DTSTAMP:20260619T172812Z
URL:https://www.pcienergysolutions.com/events/webinar-smarter-load-forecas
 ting-how-ensemble-methods-give-you-a-real-market-edge/
SUMMARY:Webinar: Smarter Load Forecasting: How Ensemble Methods Give You a 
 Real Market Edge
DESCRIPTION:In today's volatile markets\, relying on a single load forecast
  is a liability. Traditional single-model approaches often miss the mark p
 recisely when accuracy matters most — during periods of fluctuating weat
 her and high-stakes trading decisions. \n\nJoin PCI experts from 1-2 p.m
 . CT on June 25 for a live demonstration of PCI Forecaster and see ho
 w ensemble modeling transforms load forecasting into a competitive advanta
 ge for portfolio optimization and trade scheduling. \n\nHere's what you
 'll learn: \n\n 	What ensemble modeling is and why it outperforms single
 -model forecasting in volatile conditions \n 	How to use AI/ML to build m
 ore accurate load forecasts \n 	How to benchmark forecast performance a
 cross multiple models \n 	How to ingest\, compare\, and synthesize multip
 le data streams simultaneously \n 	The end-to-end process for producing h
 ighly accurate load forecasts in PCI Forecaster \n\nWho will benefit 
 from this webinar: \n\n 	Traders and scheduling coordinators who rely on
  load forecasts for unit commitment and trade decisions \n 	Load forecast
 ers and analysts looking to improve model accuracy and benchmarking practi
 ces \n 	Portfolio managers and operations staff responsible for forecast-
 driven optimization \n\nRegistrations are manually reviewed and approved\
 , and you will receive confirmation usually within one business day. Regis
 trants must register using email addresses issued by their employers. \n\
 nRegistration closes at 12:55 p.m. Thursday\, June 25 — 5 minutes befor
 e the start of the webinar. \n\nAbout the presenters:  \n\nDwarak Var
 aharajan: Dwaraknaath Varadharajan is PCI’s Sr. Product Manager\, Opti
 mization &amp\; AI. Dwaraknaath brings over more than five years of exp
 ertise in the energy industry and software development\, having been an i
 ntegral member of PCI since May 2019. Currently serving as the Product Man
 ager for the BatteryTrader and Forecaster products\, Dwaraknaath leads
  initiatives to enhance our capabilities and drive strategic development o
 f products. Dwaraknaath’s skillset encompasses proficiency in multip
 le programming languages\, generative AI\, machine learning\, business int
 elligence\, and cloud software development. Dwaraknaath holds a master 
 of science in electrical engineering with a specialized focus on power sy
 stems and minor focus on statistics from North Carolina State University
 . \n\n&nbsp\;\n\nKhai Le: Khai Le is a senior vice president at PCI Ener
 gy Solutions with 50 years of experience working with market participants 
 in RTO markets to deploy the PCI Enterprise Platform to automate their bid
 ding\, scheduling\, settlement\, and reporting workflows. Khai has conduct
 ed over 900 seminars on market-based operations\, bidding strategies\, por
 tfolio optimization\, and shadow settlements for utilities and RTOs worldw
 ide. Khai received his bachelor’s degree from Harvey Mudd College and hi
 s master’s degree from Carnegie Mellon University. \n\n&nbsp\;\n\n&nbsp
 \;\n\nArturo Custodio: Arturo Custodio Díaz is a Product Owner\, Develop
 er\, and Software Analyst at PCI Energy Solutions\, where he leads quarter
 ly planning and product development for the Forecaster product. Arturo hol
 ds a professional degree in Mechatronics Engineering from the Pontifical C
 atholic University of Peru (PUCP). His background spans machine learning\,
  predictive modeling\, and data engineering\, with hands-on experience in 
 Python\, SQL\, TensorFlow\, and cloud-based model deployment via Amazon Sa
 geMaker and AWS. 
ATTACH;FMTTYPE=image/jpeg:https://www.pcienergysolutions.com/wp-content/up
 loads/2026/06/WEBSITE-EVENT-WEBINAR-06.25.26-Smarter-Load-Forecasting-How-
 Ensemble-Methods-Give-You-a-Real-Market-Edge.png
CATEGORIES:Webinars
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DTSTART:20260308T030000
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