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Muhammad Shahzad Nazir ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Peng, Tian / Fu, Yongyan / Wang, Yuhan / Xiong, Jinlin / Suo, Leiming / Nazir, Muhammad Shahzad / Zhang, Chu (2023): An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model. Dans: Journal of Building Engineering, v. 78 (novembre 2023).

    https://doi.org/10.1016/j.jobe.2023.107635

  2. Peng, Tian / Li, Yiman / Song, ZhiZhen / Fu, Yongyan / Nazir, Muhammad Shahzad / Zhang, Chu (2023): Hybrid intelligent deep learning model for solar radiation forecasting using optimal variational mode decomposition and evolutionary deep belief network - Online sequential extreme learning machine. Dans: Journal of Building Engineering, v. 76 (octobre 2023).

    https://doi.org/10.1016/j.jobe.2023.107227

  3. Li, Yiman / Peng, Tian / Hua, Lei / Ji, Chunlei / Ma, Huixin / Nazir, Muhammad Shahzad / Zhang, Chu (2022): Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction. Dans: Sustainable Cities and Society, v. 87 (décembre 2022).

    https://doi.org/10.1016/j.scs.2022.104209

  4. Hu, Haowen / Xia, Xin / Luo, Yuanlin / Zhang, Chu / Nazir, Muhammad Shahzad / Peng, Tian (2022): Development and application of an evolutionary deep learning framework of LSTM based on improved grasshopper optimization algorithm for short-term load forecasting. Dans: Journal of Building Engineering, v. 57 (octobre 2022).

    https://doi.org/10.1016/j.jobe.2022.104975

  5. Abdalla, Ahmed N. / El-Shafay, A. S. / Ju, Yongfeng / El-Rahman, Magda Abd / Nazir, Muhammad Shahzad / Sharifpur, Mohsen (2022): Assessment of loading phase change material into net meter building to boost excess electricity generation. Dans: Journal of Building Engineering, v. 52 (juillet 2022).

    https://doi.org/10.1016/j.jobe.2022.104386

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