Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture
Since the advent of smart agriculture, technological advancements in solar energy have significantly improved farming practices, resulting in a substantial revival of different crop yields. However, the smart agriculture industry is currently facing challenges posed by climate change. This involves...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-08-01
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| Schriftenreihe: | Energies |
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| Online-Zugang: | https://www.mdpi.com/1996-1073/17/17/4322 |
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