Control energy management system for photovoltaic with bidirectional converter using deep neural network
Rapid population growth propels technological advancement, heightening electricity demand. Obsolete fossil fuel-based power facilities necessitate alternative energy sources. Photovoltaic (PV) energy relies on weather conditions, posing challenges for constant energy consumption. This hybrid energy...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Ijere
2024
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/11086/1/J17573_1e25673a7bb22e7dd28b1b0d45b81592.pdf http://eprints.uthm.edu.my/11086/ https://doi.org/10.11591/ijece.v14i2.pp1437-1447 |
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Institution: | Universiti Tun Hussein Onn Malaysia |
Language: | English |