Energy Demand Forecasting: Difference between revisions

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''This page is about the applications of machine learning (ML) in the context of energy demand forecasting. For an overview of energy forecasting more generally, please see the [https://en.wikipedia.org/wiki/Energy_forecasting Wikipedia page] on this topic.''
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The supply and demand of power must both be forecast ahead of time to inform electricity planning and scheduling. ML can help make these forecasts more accurate, improve temporal and spatial resolution, and quantify uncertainty.
The supply and demand of power must both be forecast ahead of time to inform electricity planning and scheduling. ML can help make these forecasts more accurate, improve temporal and spatial resolution, and quantify uncertainty.