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AI Use Cases in Energy Systems

AI strategies for trading, pricing, and automation in energy use cases and operations

AI is rapidly reshaping the energy sector, improving efficiency, reliability, and decision-making across the entire value chain. This introductory session provides a clear, practical overview of the most impactful AI use cases in energy today. We cover forecasting for demand, supply, and renewables; trading and pricing optimization; predictive maintenance for critical assets; grid automation and stability; and applications that support decarbonization and smarter energy management. The focus is on how these systems are deployed in real operations, the data and models that power them, and the emerging opportunities for AI-driven improvements across markets, utilities, and infrastructure. Attendees will gain a grounded understanding of where AI delivers value now and how it is shaping the future of energy systems.

Overview

AI is rapidly reshaping the energy sector, improving efficiency, reliability, and decision-making across the entire value chain. This introductory session provides a clear, practical overview of the most impactful AI use cases in energy today. We cover forecasting for demand, supply, and renewables; trading and pricing optimization; predictive maintenance for critical assets; grid automation and stability; and applications that support decarbonization and smarter energy management. The focus is on how these systems are deployed in real operations, the data and models that power them, and the emerging opportunities for AI-driven improvements across markets, utilities, and infrastructure. Attendees will gain a grounded understanding of where AI delivers value now and how it is shaping the future of energy systems.

Thank you for your interest in this talk. We look forward to seeing you!

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