Power System Optimization: Difference between revisions
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''This page is about the applications of machine learning (ML) in the context of power system simulation and optimization. For an overview of remote sensing more generally, please see the [https://en.wikipedia.org/wiki/Power_system_simulation Wikipedia page] on this topic.'' |
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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. |
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. |
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