Machine Learning-Based Approach to Predict Energy Consumption of Renewable and Nonrenewable Power Sources
In today’s world, renewable energy sources are increasingly integrated with nonrenewable energy sources into electric grids and pose new challenges because of their intermittent and variable nature. Energy prediction using soft-computing techniques plays a vital role in addressing these challenges....
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2020-09-01
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| Col·lecció: | Energies |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1996-1073/13/18/4870 |
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