An intelligent management of power flow in the smart grid system using hybrid NPO-ATLA approach-Reference-Cited by-同舟云学术

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An intelligent management of power flow in the smart grid system using hybrid NPO-ATLA approach

Published:2022-03-06 Issue:8 Volume:55 Page:6461-6503
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Dsouza Anil Kumar,Thammaiah Ananthapadmanabha,Venkatesh Likith Kumar M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10158-9.pdf

Reference55 articles.

1. Annapandi P, Banumathi R, Pratheeba N, Manuela A (2020) An efficient optimal power flow management based microgrid in hybrid renewable energy system using hybrid technique. Trans Inst Meas Control 43:248–264

2. Babar M, Tariq MU, Jan MA (2020) Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid. Sustain Cities Soc 62:102370

3. Bajpai P, Dash V (2012) Hybrid renewable energy systems for power generation in stand-alone applications: a review. Renew Sustain Energy Rev 16:2926–2939

4. Bektas Z, Kayalıca M, Kayakutlu G (2020) A hybrid heuristic algorithm for optimal energy scheduling of grid-connected micro grids. Energy Syst

5. Cai W, Li X, Maleki A, Pourfayaz F, Rosen MA, Nazari MA, Bui DT. (2020) Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology. Energy. 201:117480

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