Standout Papers

Predicting residential energy consumption using CNN-LSTM neural networks 2019 2026 2021 2023 931
  1. Predicting residential energy consumption using CNN-LSTM neural networks (2019)
    Tae Young Kim, Sung-Bae Cho Energy

Immediate Impact

1 from Science/Nature 54 standout
Sub-graph 1 of 22

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Works of Sung-Bae Cho being referenced

Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout

Author Peers

Author Last Decade Papers Cites
Sung-Bae Cho 624 317 135 732 333 52 1.9k
Katarina Grolinger 652 269 223 910 445 51 2.2k
Eenjun Hwang 513 392 98 950 361 129 2.0k
Miriam A. M. Capretz 440 133 192 407 310 69 1.7k
S. N. Deepa 755 237 148 678 170 97 3.0k
Mohamed Adel Serhani 532 191 251 577 164 70 2.0k
Mariette Awad 486 251 95 766 97 58 2.4k
Tanveer Hussain 909 1181 100 808 238 73 2.6k
Alicia Troncoso 808 173 182 985 227 98 2.5k
Jianxin Li 889 272 226 675 393 37 2.8k
Shuai Zhang 868 257 85 649 319 23 2.5k

All Works

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2026