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Explore Our Sessions Energy Storage Portfolios Matt Clenchy, VP Analytics
Data-Driven Strategies for Storage M&A Development Risk Assessment: Learn to evaluate asset-level risks using interconnection queue and transmission data. Growth Opportunity Identification: Discover methods to pinpoint high-potential post-acquisition development opportunities. Competitive Landscape Analysis: Understand market dynamics to enhance operational performance in storage. Learn More State of the Transition Matt Clenchy, VP Analytics
Jeff Taylor, VP Decarbonization
Optimizing Energy Transition Investments with Data and AI AI in Investing: Discover how AI can streamline energy transition investments and clarify complex decisions. Transmission Analytics: Use busbar-level data on injection/withdrawal capacity and congestion to de-risk projects. Project Financing: Accelerate merchant battery project financing with proprietary forecasts and optimization models. LCOH Modeling for 45V Eligibility: Explore data-driven strategies to optimize renewable energy use for hydrogen. Learn More Standalone Battery Storage Revenues Keaton Horner, Director of Analytics
Maximizing Battery Storage Revenue Potential Historical Revenue Benchmarking: Assess past operator performance to capture perfect foresight revenues. Accurate Revenue Forecasting: Use forecast scenarios that incorporate volatility for reliable revenue predictions. Nodal Forecasts: Leverage location-specific power price forecasts to identify prime storage sites and protect future revenue. Learn More Derisking Merchant Revenue Stacks Keaton Horner, Director of Analytics
Uncover the Impact of Data Centers on Battery Storage Market Level Nuances: Revenue profiles vary by market, making detailed modeling essential. Data-Driven Perspectives: Accurate forecast scenarios and realistic projections are critical to project benchmarking and informed decision-making. Nodal Forecasts: Leveraging power price forecasts to locate, screen and evaluate the potential profitability of projects. Learn More >