reviewRenewable and Sustainable Energy ReviewsFeb 11, 2017Closed access

A review and analysis of regression and machine learning models on commercial building electricity load forecasting

UNSW Sydney

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

543
total citations
FWCI
22.64
Percentile
100%
References
65
Citations per year

Authors

3

Topics & keywords

Keywords
  • Electricity
  • Mean absolute percentage error
  • Mean squared error
  • Regression analysis
  • Probabilistic forecasting
  • Demand response
  • Demand forecasting
  • Computer science
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