Solve day-ahead energy market what-if studies on MATPOWER-style network JSON using DC-OPF with spinning reserve co-optimization, compare base vs counterfactual transmission scenarios, and write a validator-friendly report.json.
How to install energy-market-pricing?
etayang10th/spark-skills/energy-market-pricing
$npx -y skills add etayang10th/spark-skills --skill energy-market-pricingInstalls into the current project.
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Run `npx skills use "https://github.com/etayang10th/spark-skills" --skill "etayang10th/spark-skills/energy-market-pricing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/etayang10th/spark-skills" that are relevant to the current task. Run `npx skills add "https://github.com/etayang10th/spark-skills"` and select the relevant skills, then follow their instructions.
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