Demand response: Difference between revisions

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''This page is about the applications of machine learning (ML) in the context of demand response. For an overview of demand response more generally, please see the [https://en.wikipedia.org/wiki/Demand_response Wikipedia page] on this topic.''
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By accurately predicting and quickly responding to changes in the supply of electricity, consumers can reduce their electricity usage during peak periods and diminish the need for utilities to resort to fossil fuels. Advanced demand response may even allow consumers such as industrial factories to optimize their operations to take advantage of inconsistent solar and wind power.
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== Background Readings ==
 
== Background Readings ==
   

Latest revision as of 15:05, 26 August 2021

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This page is about the applications of machine learning (ML) in the context of demand response. For an overview of demand response more generally, please see the Wikipedia page on this topic.


By accurately predicting and quickly responding to changes in the supply of electricity, consumers can reduce their electricity usage during peak periods and diminish the need for utilities to resort to fossil fuels. Advanced demand response may even allow consumers such as industrial factories to optimize their operations to take advantage of inconsistent solar and wind power.

Background Readings[edit | edit source]

Community[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

References[edit | edit source]