articleEnergy Conversion and ManagementMar 1, 2025Closed access

Hybrid Machine learning models for PV output prediction: Harnessing Random Forest and LSTM-RNN for sustainable energy management in aquaponic system

Sriwijaya University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

44
total citations
FWCI
86.54
Percentile
100%
References
44
Citations per year

Authors

4

Topics & keywords

Keywords
  • Random forest
  • Aquaponics
  • Sustainable energy
  • Energy (signal processing)
  • Computer science
  • Artificial intelligence
  • Recurrent neural network
  • Machine learning
No related works found for this paper.