Sector-coupled districts and district heating systems

From Climate Change AI Wiki
Revision as of 17:39, 30 August 2021 by MarcusV (talk | contribs)

(diff) ← Older revision | Approved revision (diff) | Latest revision (diff) | Newer revision → (diff)

🌎 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 district heating with sector coupling. For an overview of district heating more generally, please see the Wikipedia page on this topic.

To achieve decarbonization across the heating and power supply and the mobility sector, they are increasingly coupled within districts in a joint spatial and organizational context. ML by providing surrogate models of thermal processes and quantify uncertainties of loads, supply and mobility behavior.

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]