Demand response

From Climate Change AI Wiki
Revision as of 15:05, 26 August 2021 by MarcusV (talk | contribs)

(diff) ← Older revision | Approved revision (diff) | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

🌎 This article is a stub, and is currently under construction. You can help by adding to it!

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]