Review paper
Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance
Abstract
Fault detection and diagnosis (FDD) represents one of the most active areas of research and commercial product development in the buildings industry. This paper addresses two questions concerning FDD implementation and advancement 1) What are today's users of FDD saving and spending on the technology? 2) What methods and datasets can be used to evaluate and benchmark FDD algorithm performance? Relevant to the first question, 26 organizations...
Paper Details
Title
Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance
Published Date
Jan 1, 2020
Journal
Volume
168
Pages
106505 - 106505
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History