Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow
- Award ID(s):
- 1642315
- Publication Date:
- NSF-PAR ID:
- 10075675
- Journal Name:
- Applied Energy
- Volume:
- 225
- Issue:
- C
- Page Range or eLocation-ID:
- 1176 to 1189
- ISSN:
- 0306-2619
- Sponsoring Org:
- National Science Foundation