Standout Papers

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production 2022 2026 2023 2024211
  1. CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production (2022)
    Ali Agga, Ahmed Abbou et al. Electric Power Systems Research

Immediate Impact

35 standout
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Citing Papers

Integrating thermal phase-change material energy storage with solar collectors: A comprehensive review of techniques and applications
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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
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2 intermediate papers

Works of Ahmed Abbou being referenced

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
2022 Standout
Biaxial Equatorial Solar Tracker with High Precision and Low Consumption: Modelling and Realization
2021

Author Peers

Author Last Decade Papers Cites
Ahmed Abbou 503 184 271 191 65 682
Masoud Ahmadipour 427 264 269 243 36 791
Yang Hu 558 304 138 125 77 837
Majid Jamil 547 294 210 200 47 830
Juan José González de la Rosa 437 215 144 83 71 723
Przemysław Janik 538 248 135 77 40 686
Abdulaziz Almalaq 431 209 157 122 30 648
M. EL-Shimy 298 129 188 233 38 624
José Pombo 430 109 366 354 36 840
Ratna Dahiya 425 217 74 166 57 626
Julian Meng 574 194 216 111 50 673

All Works

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2026