Standout Papers

Predicting electricity consumption for commercial and residential buildings using deep recurrent neura... 2017 2026 2020 2023 506
  1. Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks (2017)
    Aowabin Rahman, Vivek Srikumar et al. Applied Energy

Immediate Impact

56 standout
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Citing Papers

Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
2024 Standout
Exploring the development and applications of sustainable natural fiber composites: A review from a nanoscale perspective
2024 Standout

Works of Aowabin Rahman being referenced

A machine learning framework for predicting the shear strength of carbon nanotube-polymer interfaces based on molecular dynamics simulation data
2020
Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
2017 Standout

Author Peers

Author Last Decade Papers Cites
Aowabin Rahman 138 353 463 143 16 863
Arash Moradzadeh 82 210 741 170 38 1.0k
Biao Yan 82 457 307 85 31 857
Olcay Ersel Canyurt 188 124 435 148 34 889
Chengliang Xu 132 691 621 207 40 1.2k
Yunyang Ye 126 652 401 157 44 972
Primož Potočnik 159 126 350 80 39 763
Jiaqiang Wang 373 282 237 119 58 933
Martti Viljanen 243 497 190 133 29 955
Alben Cardenas 33 245 669 119 39 970
Hongyu Zhu 250 72 540 118 43 1.0k

All Works

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2026