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Artificial Intelligence Techniques in Hybrid Renewable Energy Systems

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dc.contributor.author Parmar, Viraj
dc.contributor.author Tulsani, Vijya
dc.contributor.author Patel, Priya
dc.date.accessioned 2020-11-12T10:45:43Z
dc.date.available 2020-11-12T10:45:43Z
dc.date.issued 2020-07
dc.identifier.issn 2231-3990
dc.identifier.uri http://ir.paruluniversity.ac.in:8080/xmlui/handle/123456789/7810
dc.description.abstract Hybrid Renewable energy systems which combines various energy resources to increase capacity of energy production. The unpredictability of energy demands is a major challenge in Hybrid renewable energy system. To reduce this challenge energy demands should be known in advance which will help to reduce insufficient supply of energy.This paper will focus on how Artificial Intelligence technique can be used in predictability. The Artificial Neural Model is described, as well as Illustration provided about how Artificial Neural Model -ANN model can be trained with certain input parameters, which will process and be able to predict energy demands as an output in advance.The predicted output can then be given to Hybrid Renewable Energy Systemswhich will help increasing the production.This eventually leads to sufficient supply and saving of energy demands. en_US
dc.language.iso en en_US
dc.publisher Alochana Chakra Journal | Volume-9 | Issue-7 en_US
dc.subject Renewable Energy, Solar Energy, Tidal Energy, Hydal energy, Wind energy, Geothermal Energy. en_US
dc.title Artificial Intelligence Techniques in Hybrid Renewable Energy Systems en_US
dc.type Article en_US


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