Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

Zahoor Ali Khan; Adia Khalid; Nadeem Javaid; Abdul Haseeb; Tanzila Saba; Muhammad Shafiq

doi:10.1109/ACCESS.2019.2942813

Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

Zahoor Ali Khan, Adia Khalid, Nadeem Javaid, Abdul Haseeb, Tanzila Saba, Muhammad Shafiq

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
文章编号	8845584
页（从-至）	140102-140125
页数	24
期刊	IEEE Access
卷	7
DOI	https://doi.org/10.1109/ACCESS.2019.2942813
出版状态	已出版 - 2019
已对外发布	是

!!!ASJC Scopus Subject Areas

一般计算机科学
一般材料科学
一般工程

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title = "Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid",

author = "Khan, {Zahoor Ali} and Adia Khalid and Nadeem Javaid and Abdul Haseeb and Tanzila Saba and Muhammad Shafiq",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) through the Brain Korea 21 Plus Program under Grant 22A20130012814. Publisher Copyright: {\textcopyright} 2013 IEEE.",

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AU - Khan, Zahoor Ali

AU - Khalid, Adia

AU - Javaid, Nadeem

AU - Haseeb, Abdul

AU - Saba, Tanzila

AU - Shafiq, Muhammad

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) through the Brain Korea 21 Plus Program under Grant 22A20130012814. Publisher Copyright: © 2013 IEEE.

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M3 - Article

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JO - IEEE Access

JF - IEEE Access

M1 - 8845584

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Exploiting Nature-Inspired-Based Artificial Intelligence Techniques for Coordinated Day-Ahead Scheduling to Efficiently Manage Energy in Smart Grid

!!!ASJC Scopus Subject Areas

联合国可持续发展目标

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