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Power System Optimization: Difference between revisions

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(Created page with "== Background Readings == == Community == == Libraries and Tools == == Data == == Future Directions == == References ==")
 
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Scheduling algorithms on the power grid have trouble handling large quantities of solar, wind, and other time-varying electricity sources. ML can help improve electricity scheduling algorithms, control storage and flexible demand, and design real-time electricity prices that reduce CO<sub>2</sub> emissions.
 
== Background Readings ==
 
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