Nick Guay of GridBeyond will give a presentation titled “Process Optimizer: Data-led Optimization and Control to Maximize Flexibility.” Nick will explore how to identify operational flexibility opportunities and align energy market participation to deliver maximum economic value from industrial facilities to public sector institutions. During the session, he will discuss how scheduling energy market participation around business-critical processes can deliver the best economic production schedule and energy management, demonstrating how AI-powered forecasting, automated control systems, and intelligent energy optimization are transforming industrial operations.
In the second presentation, Rafed Hossain will explore how Cognite’s DataOps and contextualization capabilities are helping energy and industrial leaders make smarter, real-time decisions. Drawing from real-world use cases, he will demonstrate how contextualized operational data improves asset performance, reduces costs, and enables flexible distributed energy resource (DER) integration—all critical as the industry advances toward net-zero goals.
- How big data and site-specific information, combined with AI and machine learning, can identify how and where operations could be made flexible.
- How to reduce energy consumption in industrial production without compromising quality or throughput.
- How to leverage strategic energy trading while meeting operational requirements.
