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As battery storage plays an increasingly vital role in the energy transition, maximizing its revenue potential is crucial. PCI Energy Solutions is at the forefront of this evolution, with our powerful new BatteryTrader software platform.Â
In this exclusive webinar, we’ll unveil BatteryTrader’s groundbreaking automated bidding and advanced analytics capabilities designed to streamline battery operations and boost profitability in ISO power markets.Â
You’ll get a sneak peek at features that empower you to:Â
- Maximize battery profits across energy and ancillary servicesÂ
- Evaluate the potential profits and risks of various bid/offer strategies Â
- Decipher differences between co-located, hybrid, and stand-alone storage resourcesÂ
- Dive into use cases for optimizing a battery fleet in a broader portfolioÂ
Who will benefit from this webinar:Â Â
- Individuals interested in learning about how batteries and renewables work together to enable the transition to a cleaner power gridÂ
- Portfolio managers and traders interested in maximizing battery revenues in any ISOÂ Â
- Analysts and data scientists responsible for assessing asset performance Â
- Traders with battery fleets in multiple markets in need of a scalable, manageable bidding platformÂ
Whether you’re a portfolio manager, trader, analyst or anyone invested in battery storage economics, this is your chance to preview the future of intelligent, data-driven battery optimization.Â
About the presenters:Â Â
Khai Le: Khai is a senior vice president at PCI Energy Solutions. Over the past 47 years, Khai has conducted over 600 seminars on market-based operations, bidding strategies, portfolio optimization, and shadow settlement for utilities and RTOs worldwide. He is currently working with several PCI clients to formulate bidding strategies for ESRs. Khai received his bachelor’s degree from Harvey Mudd College and his master’s degree from Carnegie Mellon University. Â
Paul Davis: Paul is a senior director at PCI Energy Solutions with over 23 years of experience using PCI software in regulated and unregulated power markets. Paul works closely with customers and development teams to discover and implement analytics solutions, focusing on portfolio management and machine learning forecast applications. Paul graduated from Auburn with a bachelor’s in mechanical engineering and earned a master’s in finance at Texas A&M.Â