articleEnergyJan 4, 2007Closed access

Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks

City University of Hong Kong

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

928
total citations
FWCI
14.53
Percentile
100%
References
12
Citations per year

Authors

2

Topics & keywords

Keywords
  • Decision tree
  • Artificial neural network
  • Energy consumption
  • Predictive modelling
  • Mean squared error
  • Regression analysis
  • Computer science
  • Consumption (sociology)
UN Sustainable Development Goals
  • Affordable and clean energy
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