Hybrid soft computing based optimization for low carbon energy management considering nonlinear battery recharging patterns of electric vehicles-Reference-Cited by-同舟云学术

Hybrid soft computing based optimization for low carbon energy management considering nonlinear battery recharging patterns of electric vehicles

Published:2024-06 Issue: Volume:11 Page:1856-1873
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Khalid Muhammad^ORCID

Publisher

Elsevier BV

Reference65 articles.

1. A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines;Ahmed;Plos One,2022

2. The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls;Ahmed;IET Gener. Transm. Distrib.,2023

3. Multi-objective whale optimization approach for cost and emissions scheduling of thermal plants in energy hubs;Ahmed;Energy Rep.,2022

4. Performance of various metaheuristic techniques for economic dispatch problem with valve point loading effects and multiple fueling options;Ahmed;Adv. Electr. Eng.,2014

5. Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems;Ahmed;Sci. Rep.,2022

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