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Linked challenge: Optimize BESS Arbitrage with AI-driven Price Forecasting & 15-min Trading
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Linked challenge
Optimize BESS Arbitrage with AI-driven Price Forecasting & 15-min Trading
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Begin by setting up your project environment. Identify and acquire a dataset of historical electricity spot prices (e.g., from a European market like EPEX SPOT or Nord Pool) with at least 15-minute granularity for a period of 1-2 years. Prepare this data for time-series analysis, handling missing values and anomalies. Outline the architecture for your BESS arbitrage system, including components for data ingestion, forecasting, optimization, and simulation. Define the key parameters for your hypothetical large-scale BESS (e.g., capacity, maximum power, round-trip efficiency, degradation model if applicable).
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