Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial...
Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
This paper presents a comprehensive review of machine learning (ML) based approaches, especially artificial neural networks (ANNs) in time series data prediction problems. According to literature, around 80% of the world’s total energy demand is supplied either through fuel-based sources such as oil, gas, and coal or through nuclear-based sources....
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Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks
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TN_cdi_proquest_journals_2493914908
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2493914908
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su13042393
