Multimodal Renewable Energy Hybrid Supply Optimization Model Based on Heterogeneous Cloud Wireless Access

With the increasing emphasis on environmental issues, the utilization of renewable energy has been recognized as a feasible solution to address the energy crisis and reduce environmental pollution. In view of this, this article proposes a multi-modal renewable energy hybrid power supply optimization...

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Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.78286-78303
Main Authors: Tian, Feng, Wang, Hongjiang, Jiang, He, Zhao, Baida
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Clustering
Clustering algorithms
Cost benefit analysis
energy supply optimization
heterogeneous cloud radio access
Heuristic algorithms
K-clustering algorithm
Optimization
Optimization algorithms
Optimization models
Particle swarm optimization
particle swarm optimization algorithm
Reliability
Renewable energy
Renewable energy sources
Renewable resources
Robustness (mathematics)
User satisfaction
Whale optimization algorithms
Wireless communication
WOA algorithm
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Summary:With the increasing emphasis on environmental issues, the utilization of renewable energy has been recognized as a feasible solution to address the energy crisis and reduce environmental pollution. In view of this, this article proposes a multi-modal renewable energy hybrid power supply optimization model based on heterogeneous cloud wireless access. The model innovatively combines heterogeneous cloud wireless access technology and various intelligent optimization algorithms, including k-clustering algorithm, particle swarm optimization algorithm, and whale optimization algorithm, forming a hybrid optimization algorithm. In order to comprehensively evaluate the actual performance of the model, this study recruited 20 experts to provide detailed ratings on four core dimensions: cost-benefit ratio, reliability, robustness, and user satisfaction. The results showed that the model scored 95.1, 96.4, 95.6, and 96.2 in the four dimensions of cost-benefit ratio, reliability indicators, robustness, and user satisfaction, respectively. This series of significant data not only confirms the theoretical superiority of the model, but also demonstrates its strong potential and practical value in practical applications. In summary, this study provides a promising and innovative solution for the field of renewable energy supply.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3407726