Comparative analysis of machine learning algorithms for prediction of smart grid stability †-Reference-Cited by-同舟云学术

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Comparative analysis of machine learning algorithms for prediction of smart grid stability †

Published:2021-02-04 Issue:9 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Bashir Ali Kashif¹^ORCID,Khan Suleman²,Prabadevi B³,Deepa N³,Alnumay Waleed S.⁴,Gadekallu Thippa Reddy³^ORCID,Maddikunta Praveen Kumar Reddy³

Affiliation:

1. Department of Computing and Mathematics Manchester Metropolitan University Manchester Manchester UK

2. Air University Islamabad Islamabad Pakistan

3. School of Information Technology and Engineering Vellore Institute of Technology Tamilnadu India

4. Computer Science Department King Saud University Riyadh Saudi Arabia

Funder

King Saud University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12706

Reference59 articles.

1. Collaborative control of thermostatically controlled appliances for balancing renewable generation in smart grid

2. Smart Grid Technologies: Communication Technologies and Standards

3. A hybrid wrapper‐filter approach for malware detection;Alazab M;J Networks,2014

4. Malicious spam emails developments and authorship attribution;Alazab M;IEEE.,2013

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