Webinar: Strategic Portfolio Optimization & Stochastic Risk Management

Assessing and Managing Risks of a Generation Asset Portfolio Using PCI GenTrader

Managing an asset-heavy portfolio has never been more complex. Rapid AI-driven load growth, high renewable penetration, and shifting market dynamics are pushing traditional planning methods to their breaking point. As markets expand, companies must actively trade to maximize asset value and hedge against risks, yet many still rely on fragile spreadsheets that fail to scale, leaving teams struggling to keep pace. 

To thrive in face of the challenge, modern energy professionals must move beyond simply meeting native load. Today’s reality demands active gas procurement, precise hedging strategies, and optimal generation maintenance scheduling. Crucially, it requires anticipating risk exposure across a multitude of volatile drivers: fluctuating gas and power prices, weather-dependent renewables, and unexpected unit outages. 

PCI GenTrader tackles these challenges by pairing powerful deterministic optimization with an advanced Stochastic Risk Scenario Manager. Using Monte Carlo simulations, GenTrader replaces narrow, single-point forecasts with a comprehensive spectrum of outcomes. This probabilistic view of profit and loss empowers your team to make confident, data-driven decisions on operational budgets, maintenance timing, and targeted hedging. 

Here is what you will learn: 

• Move beyond spreadsheets: Replace fragile, manual models with a robust, integrated optimization platform that scales with your portfolio 
• Evaluate risk with stochastic simulation: Model operations under uncertainty to uncover risk exposure to volatile power and gas prices, load shifts, and forced outages 
• Optimize hedging and procurement: Leverage probabilistic outcomes to confidently guide natural gas strategies, procure fuel, and validate hedge effectiveness 
• Strategize maintenance: Use predictive optimization and risk distributions to pinpoint the optimal timing for generation outages, minimizing financial impact and reliability risks 

Who will benefit from this webinar: 

• Portfolio and asset managers seeking to maximize the value of generation assets in expanding, volatile markets 
• Risk managers and analysts responsible for assessing portfolio risk exposure, managing stochastic scenarios, and producing earnings-at-risk metrics 
• Resource planners and operations analysts needing to account for renewable uncertainty, AI-driven load growth, and complex operating constraints 
• Fuel procurement teams and traders looking for data-driven, distributed risk insights to guide natural gas strategies and bilateral trading decisions 

Registrations are manually reviewed and approved, and you will receive confirmation usually within one business day. Registrants must register using email addresses issued by their employers. 

Registration closes at 2:55 p.m. CT Tuesday, July 7 — 5 minutes before the start of the webinar. 

About the presenters:  

Buck Feng is PCI’s CTO and has been with PCI since 1998. Buck is one of the chief architects of the generation asset optimization model known as PCI GenTrader®. He’s also responsible for the development of PCI’s Generation Supply Management System (GSMS), which is a platform that integrates asset optimization, trading and risk management, market communication, bid/offer management, P&L analysis, and settlement functions to extract maximum value from an energy company’s asset portfolio. Prior to joining PCI, Buck held several key positions at PG&E Corporation’s energy trading and utility divisions. He earned his bachelor’s and master’s degrees in electrical engineering (with power systems emphasis) at the University of Oklahoma.