SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods

Title
SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods
Authors
Keywords
Urban building energy model, Supervised machine learning, Convex optimization, Smart meter, Energy efficiency, Energy prediction
Journal
APPLIED ENERGY
Volume 280, Issue -, Pages 115981
Publisher
Elsevier BV
Online
2020-10-10
DOI
10.1016/j.apenergy.2020.115981

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation