Optimization of renewable energy-based transmission system: an application of the genetic, ant colony optimization, Q-learning, and Dijkstra’s algorithms-Reference-Cited by-同舟云学术

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Optimization of renewable energy-based transmission system: an application of the genetic, ant colony optimization, Q-learning, and Dijkstra’s algorithms

Published:2023-02-21 Issue: Volume: Page:1-20
ISSN:0228-6203
Container-title:International Journal of Modelling and Simulation
language:en
Short-container-title:International Journal of Modelling and Simulation

Author:

Ansari Sam¹^ORCID,Bansal Ramesh C.¹²^ORCID,Elsahar Yasmin³^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Sharjah, Sharjah, United Arab Emirates

2. Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa

3. Wolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Leicestershire, UK

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/02286203.2023.2174740

Reference54 articles.

1. Future air pollution in the Shared Socio-economic Pathways

2. Handbook of Renewable Energy Technology & Systems

3. The role of renewable energy in the global energy transformation

4. Future Power Distribution Grids: Integration of Renewable Energy, Energy Storage, Electric Vehicles, Superconductor, and Magnetic Bus

5. Bansal R, Bhatti T, Kothari D. Some aspects of grid connected wind electric energy conversion systems. Interdisciplinary Journal of Institution on Engineers (India). 2001;82(1):25–28.

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