Mortar
Abstract
Access to large amounts of real-world data has long been a barrier to the development and evaluation of analytics applications for the built environment. Open datasets exist, but they are limited in their span (how much data is available) and context (what kind of data is available and how it is described). Evaluation of such analytics is also limited by how the analytics themselves are implemented, often using hard-coded names of building components, points and locations, or unique input data formats.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 06, 2019
- Source ID
- 10.1145/3366375
Entities
People
- Anand Prakash
- Daniel Lengyel
- David E. Culler
- Gabe Fierro
- Greg Thomson
- John Leyden
- Marco Pritoni
- Moustafa Abdelbaky
- Paul Raftery
- Pranav Gupta
- Therese Peffer
Organizations
- California Energy Commission
- Defense Advanced Research Projects Agency
- Lawrence Berkeley National Laboratory
- Semiconductor Research Corporation
- United States Department of Energy
- University of California, Berkeley