Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid

MOUASSA, Souhil; Jurado, Francisco Wandosell; Bouktir, Tarek; Raja, Muhammad Asif Zahoor

doi:10.1007/s00521-020-05496-0

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Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid

Author(s): Souhil Mouassa , Francisco Jurado , Tarek Bouktir , Muhammad Asif Zahoor Raja

Publication date (Electronic): November 17 2020

Journal: Neural Computing and Applications

Publisher: Springer Science and Business Media LLC

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MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Ray Zimmerman, Carlos Murillo-Sanchez, Robert John Thomas (2011)

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Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting

Ayaz Bukhari, Muhammad Raja, Muhammad Sulaiman … (2020)

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Optimal power flow solution in power systems using a novel Sine-Cosine algorithm

Abdel-Fattah Attia, Ragab El Sehiemy, Hany M. Hasanien (2018)

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Title: Neural Computing and Applications

Abbreviated Title: Neural Comput & Applic

Publisher: Springer Science and Business Media LLC

ISSN (Print): 0941-0643

ISSN (Electronic): 1433-3058

Publication date (Electronic): November 17 2020

Article

DOI: 10.1007/s00521-020-05496-0

SO-VID: fadb5c45-227b-4e31-8a34-44570c22a284

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Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid

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Algerian Journal of Natural Products

Most cited references 45

MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting

Optimal power flow solution in power systems using a novel Sine-Cosine algorithm

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