Webinar: Forecasting the Unpredictable: How PCI Forecaster Tackles Extreme Weather for Accurate Load Predictions

Extreme weather events continue to disrupt energy markets worldwide. From unprecedented heatwaves to sudden polar vortexes, these conditions create massive challenges for load forecasting accuracy, potentially leading to grid instability and significant financial impacts. 

We invite you to discover how PCI Forecaster is tackling extreme weather predictions. 

Here’s what you’ll learn:  

• Understanding Extreme Weather Impact 
  • Defining extreme weather events and their characteristics 
  • Comparing winter extremes vs. summer extremes and their unique challenges 

• Why Traditional ML based algorithms Falls Short in handling extreme conditions 
  • Limitations in data collection during rare events 
  • Machine learning training challenges with extreme conditions 
  • Critical gaps in prediction processes when facing:  
  • Rare weather patterns with minimal historical data 
  • Completely unprecedented weather conditions 
  • The need for continuous model learning and adaptation 

• Real-World Solutions in Action 
  • Multi-source weather data integration (GFS, HRRR, NAM) for enhanced reliability 
  • “Live demonstrations” of forecast accuracy during extreme events with limited training data 

Who will benefit from this webinar:  

• Utility forecasters and energy analysts seeking resilient forecasting tools 
• Grid operators and planners managing risk during weather volatility 

Speakers: 

Dwaraknaath Varadharajan brings over more than five years of expertise in the energy industry and software development, having been an integral member of PCI since May 2019. Currently serving as the Product Manager for the BatteryTrader and Forecaster products, Dwaraknaath leads initiatives to enhance our capabilities and drive strategic development of products. Dwaraknaath’s skillset encompasses proficiency in multiple programming languages, generative AI, machine learning, business 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.