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AI in Power Trading with David Miller (CCO, Gridmatic)

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Navigating Power Trading Dynamics

This chapter explores the methodologies for identifying 'hot' nodes in power trading and the distinctions between short-term AI-focused models and long-term fundamentals. It highlights the complexities of optimizing battery assets while addressing the innovative financial strategies necessary for startups in the industry. The discussion also delves into a unique storage fund aimed at supporting battery project investments and enhancing contract value assurance for investors.

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