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Develop the time-series forecasting component for electricity prices and ancillary service signals. Choose and implement a suitable degradation model for the BESS, ensuring it considers factors like Depth of Discharge (DoD) and cycle count. Integrate these models into your Python codebase, providing clear interfaces for the optimization component. Your forecasting model should be capable of producing day-ahead predictions.
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