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Develop Forecasting and Optimization Engines
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Linked challenge: Hybrid Solar-BESS Market & Resilience Optimization with GPT-4o & Metaflow
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Linked challenge
Hybrid Solar-BESS Market & Resilience Optimization with GPT-4o & Metaflow
Prompt source
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Implement a robust solar power forecasting model, potentially utilizing Hugging Face's capabilities for time-series. Build the multi-objective optimization engine that determines optimal dispatch for the solar-BESS hybrid, considering both market revenue and grid service provision, along with battery constraints and degradation. Provide unit tests for these core components.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.