IoT and Machine Learning based Green Energy Generation using Hybrid Renewable Energy Sources of Sola...
IoT and Machine Learning based Green Energy Generation using Hybrid Renewable Energy Sources of Solar, Wind and Hydrogen Fuel Cells
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Les Ulis: EDP Sciences
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Language
English
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Les Ulis: EDP Sciences
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As the world seeks sustainable energy solutions, Internet of Things (IoT) applications demand consistent and efficient power sources. This paper presents an innovative hybrid renewable energy system, seamlessly integrating solar photovoltaic panels, wind turbines, and hydrogen fuel cells, tailored for IoT applications. Through machine learning algo...
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IoT and Machine Learning based Green Energy Generation using Hybrid Renewable Energy Sources of Solar, Wind and Hydrogen Fuel Cells
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TN_cdi_doaj_primary_oai_doaj_org_article_19fb8786954f414d9ebe4c68b9e83aa9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19fb8786954f414d9ebe4c68b9e83aa9
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ISSN
2267-1242,2555-0403
E-ISSN
2267-1242
DOI
10.1051/e3sconf/202447201008
