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- W3155573338 abstract "In developing countries like India, the demand of energy has been increasing remarkably due to the generalization of the agricultural, industrial as well as domestic activities. The rising global warming phenomena and an increase in the depletion of fossil fuels have been the most vital driving force towards the attention to exploitation of renewable energy sources. Along with various advantages of these sources, there comes a lot of complexities attached to them due to their intermittent and variable nature. Therefore, to avoid these uncertainties, it is necessary to provide these resources with proper planning and optimization methods. This paper deals with a detailed study of many optimization techniques which can be applied to the renewable energy sources including the classical as well as the Artificial Intelligence and hybrid techniques which can offer a clear vision for the researchers in this field. The main focus has been laid on the fuzzy logic-based and adaptive intelligent-based techniques for renewable energy sources. Certain recommendations considering the challenges in renewable energy development are also been provided." @default.
- W3155573338 created "2021-04-26" @default.
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- W3155573338 date "2021-01-01" @default.
- W3155573338 modified "2023-09-26" @default.
- W3155573338 title "An Overview of the Intelligent Control-Based Optimization Methods for Integrated Renewable Energy Sources" @default.
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- W3155573338 doi "https://doi.org/10.1007/978-981-15-9938-5_39" @default.
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