articleEnergyJun 4, 2019Closed access

Predicting residential energy consumption using CNN-LSTM neural networks

TYTae Young KimSCSung-Bae Cho

Yonsei University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

1,419
total citations
FWCI
67.80
Percentile
100%
References
53
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2

Topics & keywords

Topics
Keywords
  • Computer science
  • Convolutional neural network
  • Energy consumption
  • Artificial neural network
  • Consumption (sociology)
  • Artificial intelligence
  • Deep learning
  • Mean squared error
UN Sustainable Development Goals
  • Affordable and clean energy
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