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- W4383534381 abstract "Over the years, several achievements have been made in power generation and optimising hybrid renewable energy systems (HRES) to achieve nature conservation, achieve energy security, and reduce carbon emissions. However, there are many complexities in Renewable energy (RE) conversion, sizing, design, and implementation, that require optimisation techniques to achieve optimal results in terms of reliability, cost, and environmental protection over time. This paper presents an overview of research trends in Optimization methods in HRES which are classified into modern and conventional methods. These two classifications are further divided into control methods, Artificial intelligence, Iterative and mathematical operations. However, all mentioned techniques have inherent advantages and disadvantages which will be discussed in this survey. In addition, the review paper explored different types of research in computing intelligence (CI), an aspect of Artificial Intelligence (AI) that involves the development of nature-inspired algorithms for optimisation. Finally, general optimisation criteria, system sizing methods used in RES, Mathematical modelling of RES, and gaps for future work to achieve sustainability were also presented." @default.
- W4383534381 created "2023-07-08" @default.
- W4383534381 creator A5008262595 @default.
- W4383534381 creator A5022680266 @default.
- W4383534381 creator A5041801596 @default.
- W4383534381 creator A5092422520 @default.
- W4383534381 date "2023-07-07" @default.
- W4383534381 modified "2023-10-01" @default.
- W4383534381 title "A review of hybrid renewable energies optimisation: design, methodologies, and criteria" @default.
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