Hybrid Machine learning models for PV output prediction: Harnessing Random Forest and LSTM-RNN for sustainable energy management in aquaponic system
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Citation impact
44
total citations
- FWCI
- 86.54
- Percentile
- 100%
- References
- 44
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4Topics & keywords
Topics
Keywords
- Random forest
- Aquaponics
- Sustainable energy
- Energy (signal processing)
- Computer science
- Artificial intelligence
- Recurrent neural network
- Machine learning
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