articleApplied EnergyMar 19, 2014Closed access

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

New York University · Columbia University · +1 more institution

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

589
total citations
FWCI
46.55
Percentile
100%
References
36
Citations per year

Authors

4

Topics & keywords

Keywords
  • Granularity
  • Energy consumption
  • Support vector machine
  • Metering mode
  • Predictive modelling
  • Computer science
  • Regression analysis
  • Software deployment
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding