Optimizing Gigascale BESS Arbitrage
With the connection of the 7.8GWh Saudi Arabia BESS and the shifting de-rating factors in the Polish capacity market, energy storage operators face a complex optimization problem. This challenge requires building a production-grade pipeline to forecast energy price volatility and optimize battery dispatch strategies while accounting for physical de-rating and cycle-induced degradation. You will leverage Metaflow for workflow orchestration and Gemini 2.5 Flash to synthesize market sentiment from real-time news sources via Browserless, feeding these qualitative insights into a quantitative optimization framework.
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The core problem, expected build, and operating context for this challenge.
With the connection of the 7.8GWh Saudi Arabia BESS and the shifting de-rating factors in the Polish capacity market, energy storage operators face a complex optimization problem. This challenge requires building a production-grade pipeline to forecast energy price volatility and optimize battery dispatch strategies while accounting for physical de-rating and cycle-induced degradation. You will leverage Metaflow for workflow orchestration and Gemini 2.5 Flash to synthesize market sentiment from real-time news sources via Browserless, feeding these qualitative insights into a quantitative optimization framework.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
What you should walk away with
Orchestrate complex ML workflows using Metaflow to ensure reproducibility and scalability of energy models.
Integrate Gemini 2.5 Flash with Browserless to scrape and summarize energy market news for exogenous feature generation.
Implement time-series forecasting using LSTMs or Transformers to predict day-ahead and real-time market prices.
Design a battery degradation model using the Rainflow-counting algorithm to estimate cycle costs.
Optimize energy arbitrage strategies using Pyomo or CVXPY, incorporating constraints for SoC, C-rate, and market de-rating.
Deploy a containerized evaluation harness that simulates grid interactions and financial performance over a 12-month horizon.
[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
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