Add complete test data preparation system for energy trading strategy demo. Includes configuration, data generation scripts, and validation tools for 7 datasets covering electricity prices, battery capacity, renewable/conventional generation, load profiles, data centers, and mining data. Excluded from git: Actual parquet data files (data/raw/, data/processed/) can be regenerated using the provided scripts. Datasets: - electricity_prices: Day-ahead and real-time prices (5 regions) - battery_capacity: Storage system charge/discharge cycles - renewable_generation: Solar, wind, hydro with forecast errors - conventional_generation: Gas, coal, nuclear plant outputs - load_profiles: Regional demand with weather correlations - data_centers: Power demand profiles including mining operations - mining_data: Hashrate, price, profitability (mempool.space API)
8 lines
110 B
Plaintext
8 lines
110 B
Plaintext
pandas>=2.0.0
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numpy>=1.24.0
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pyarrow>=14.0.0
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pyyaml>=6.0
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requests>=2.31.0
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scipy>=1.11.0
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python-dateutil>=2.8.0
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