articleRenewable and Sustainable Energy ReviewsApr 16, 2019Closed access

Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future

Zhejiang University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

577
total citations
FWCI
28.33
Percentile
100%
References
207
Citations per year

Authors

4

Topics & keywords

Keywords
  • Computer science
  • Artificial intelligence
  • Robustness (evolution)
  • Machine learning
  • Expert system
  • Fault detection and isolation
  • Reliability (semiconductor)
UN Sustainable Development Goals
  • Affordable and clean energy
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