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Muhammad Shahzad Nazir ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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. In: Journal of Building Engineering, v. 78 (November 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. In: Journal of Building Engineering, v. 76 (October 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. In: Sustainable Cities and Society, v. 87 (December 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. In: Journal of Building Engineering, v. 57 (October 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. In: Journal of Building Engineering, v. 52 (July 2022).

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

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