This invention describes a computer-based method for managing energy assets, like large batteries, connected to an electricity grid. It identifies opportunities for these assets to provide services to the grid based on current and future market prices. The system then predicts how well the asset can perform for that opportunity, and if confident, calculates the expected profit to optimize its operation, potentially involving bidding in energy markets.
Why it matters: Filed before the widespread deployment of grid-scale energy storage and the maturation of AI for real-time market forecasting. These advancements make the prognostic analysis and economic optimization far more powerful and relevant for today's energy grids.
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