Appendix Table of Contents
–Neural Information Processing Systems
Our datasets and code are available via the following links: Github: https://github.com/NREL/BuildingsBench As described in Sec. 3 and Sec. 4, Buildings-900K and the BuildingsBench benchmark datasets are B.1 Motivation Q: For what purpose was the dataset created? It specifically addresses a lack of appropriately sized and diverse datasets for pretraining STLF models. We emphasize that the EULP was not originally developed for studying STLF. Rather, it was developed as a general resource to "...help electric utilities, grid operators, manufacturers, Q: Who created the dataset (e.g., which team, research group) and on behalf of which entity Q: Who funded the creation of the dataset?
Neural Information Processing Systems
Oct-8-2025, 13:00:10 GMT
- Country:
- Europe
- North America
- Canada > Ontario
- Waterloo Region > Waterloo (0.04)
- United States > Massachusetts (0.04)
- Canada > Ontario
- Genre:
- Collection (0.40)
- Research Report (0.46)
- Industry:
- Energy > Power Industry
- Utilities (0.48)
- Government (1.00)
- Energy > Power Industry
- Technology: